Milind Tambe

682 papers A* 127A 152B 9C 16Misc 2Journal 220Unranked 143
YearRankTypeTitle / Venue / Authors
2026 J jnl
Contrasting Local and Global Modeling with Machine Learning and Satellite Data: A Case Study Estimating Tree Canopy Height in African Savannas.
J. Mach. Learn. Res.
Esther Rolf, Lucia Gordon, Milind Tambe, Andrew Davies
2026 A* conf
Generative AI Against Poaching: Latent Composite Flow Matching for Poaching Prediction.
AAAI
Lingkai Kong, Haichuan Wang, Charles A. Emogor, Vincent Börsch-Supan, Lily Xu, Milind Tambe
2026 J jnl
Generative AI for Social Impact.
CoRR
Lingkai Kong, Cheol Woo Kim, Davin Choo, Milind Tambe
2026 J jnl
Generative Artificial Intelligence for Social Impact.
IEEE Intell. Syst.
Lingkai Kong, Cheol Woo Kim, Davin Choo, Milind Tambe
2026 J jnl
Health Facility Location in Ethiopia: Leveraging LLMs to Integrate Expert Knowledge into Algorithmic Planning.
CoRR
Yohai Trabelsi, Guojun Xiong, Fentabil Getnet, Stéphane Verguet, Milind Tambe
2026 J jnl
Incentive-Aware AI Safety via Strategic Resource Allocation: A Stackelberg Security Games Perspective.
CoRR
Cheol Woo Kim, Davin Choo, Tzeh Yuan Neoh, Milind Tambe
2026 J jnl
LLM Active Alignment: A Nash Equilibrium Perspective.
CoRR
Tonghan Wang, Yuqi Pan, Xinyi Yang, Yanchen Jiang, Milind Tambe, David C. Parkes
2026 J jnl
Latent Spherical Flow Policy for Reinforcement Learning with Combinatorial Actions.
CoRR
Lingkai Kong, Anagha Satish, Hezi Jiang, Akseli Kangaslahti, Andrew Ma, Wenbo Chen, Mingxiao Song, Lily Xu, Milind Tambe
2026 A* conf
Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget.
AAAI
Davin Choo, Yohai Trabelsi, Fentabil Getnet, Samson Warkaye Lamma, Wondesen Nigatu, Kasahun Sime, Lisa Matay, Milind Tambe, Stéphane Verguet
2026 J jnl
Policy-Embedded Graph Expansion: Networked HIV Testing with Diffusion-Driven Network Samples.
CoRR
Akseli Kangaslahti, Davin Choo, Lingkai Kong, Milind Tambe, Alastair van Heerden, Cheryl Johnson
2026 A* conf
Preference Robustness for DPO with Applications to Public Health.
AAAI
Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe
2026 J jnl
Reward Shaping for Inference-Time Alignment: A Stackelberg Game Perspective.
CoRR
Haichuan Wang, Tao Lin, Lingkai Kong, Ce Li, Hezi Jiang, Milind Tambe
2026 A* conf
VORTEX: Aligning Task Utility and Human Preferences Through LLM-Guided Reward Shaping.
AAAI
Guojun Xiong, Milind Tambe
2025 J jnl
A game-theoretic approach for hierarchical epidemic control.
Auton. Agents Multi Agent Syst.
Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik
2025 J jnl
Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing.
CoRR
Davin Choo, Yuqi Pan, Tonghan Wang, Milind Tambe, Alastair van Heerden, Cheryl Johnson
2025 J jnl
Analyzing Cost-Sensitive Surrogate Losses via ℋ-calibration.
CoRR
Sanket Shah, Milind Tambe, Jessie Finocchiaro
2025 A conf
Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health.
AAMAS
Arpan Dasgupta, Gagan Jain, Arun Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja
2025 A conf
Beyond Listenership: AI-Predicted Interventions Drive Improvements in Maternal Health Behaviours.
ECAI
Arpan Dasgupta, Sarvesh Gharat, Neha Madhiwalla, Aparna Hegde, Milind Tambe, Aparna Taneja
2025 J jnl
Beyond Listenership: AI-Predicted Interventions Drive Improvements in Maternal Health Behaviours.
CoRR
Arpan Dasgupta, Sarvesh Gharat, Neha Madhiwalla, Aparna Hegde, Milind Tambe, Aparna Taneja
2025 J jnl
Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information.
CoRR
Rui Ai, Yuqi Pan, David Simchi-Levi, Milind Tambe, Haifeng Xu
2025 J jnl
Composite Flow Matching for Reinforcement Learning with Shifted-Dynamics Data.
CoRR
Lingkai Kong, Haichuan Wang, Tonghan Wang, Guojun Xiong, Milind Tambe
2025 A* conf
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits.
AAAI
Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson
2025 A* conf
Evaluating Index-based Treatment Allocation in Underresourced Communities.
AAAI
Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe
2025 A conf
Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation.
AAMAS
Guojun Xiong, Haichuan Wang, Yuqi Pan, Saptarshi Mandal, Sanket Shah, Niclas Boehmer, Milind Tambe
2025 J jnl
Finite-Horizon Single-Pull Restless Bandits: An Efficient Index Policy For Scarce Resource Allocation.
CoRR
Guojun Xiong, Haichuan Wang, Yuqi Pan, Saptarshi Mandal, Sanket Shah, Niclas Boehmer, Milind Tambe
2025 J jnl
Generative AI Against Poaching: Latent Composite Flow Matching for Wildlife Conservation.
CoRR
Lingkai Kong, Haichuan Wang, Charles A. Emogor, Vincent Börsch-Supan, Lily Xu, Milind Tambe
2025 J jnl
LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation.
CoRR
Sarah Martinson, Lingkai Kong, Cheol Woo Kim, Aparna Taneja, Milind Tambe
2025 J jnl
Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Improved Message Delivery in Mobile Maternal Health.
CoRR
Arpan Dasgupta, Mizhaan Maniyar, Awadhesh Srivastava, Sanat Kumar, Amrita Mahale, Aparna Hegde, Arun Sai Suggala, Karthikeyan Shanmugam, Aparna Taneja, Milind Tambe
2025 — conf
Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Optimizing Call Timing in Mobile Maternal Health.
MLHC
Arpan Dasgupta, Mizhaan Maniyar, Awadhesh Srivastava, Sanat Kumar, Amrita Mahale, Aparna Hegde, Arun Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja
2025 J jnl
Lightweight Robust Direct Preference Optimization.
CoRR
Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe
2025 J jnl
Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness.
CoRR
Ambreesh Parthasarathy, Chandrasekar Subramanian, Ganesh Senrayan, Shreyash Adappanavar, Aparna Taneja, Balaraman Ravindran, Milind Tambe
2025 A* conf
Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning.
ICML
Cheol Woo Kim, Jai Moondra, Shresth Verma, Madeleine Pollack, Lingkai Kong, Milind Tambe, Swati Gupta
2025 J jnl
Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning.
CoRR
Cheol Woo Kim, Jai Moondra, Shresth Verma, Madeleine Pollack, Lingkai Kong, Milind Tambe, Swati Gupta
2025 A conf
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow.
AAMAS
Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe
2025 J jnl
On Sequential Fault-Intolerant Process Planning.
CoRR
Andrzej Kaczmarczyk, Davin Choo, Niclas Boehmer, Milind Tambe, Haifeng Xu
2025 J jnl
Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget.
CoRR
Davin Choo, Yohai Trabelsi, Fentabil Getnet, Samson Warkaye Lamma, Wondesen Nigatu, Kasahun Sime, Lisa Matay, Milind Tambe, Stéphane Verguet
2025 A* conf
Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach.
AAAI
Niclas Boehmer, Yunfan Zhao, Guojun Xiong, Paula Rodriguez Diaz, Paola Del Cueto Cibrian, Joseph Ngonzi, Adeline Boatin, Milind Tambe
2025 A* conf
PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning.
AAAI
Shresth Verma, Alayna Nguyen, Niclas Boehmer, Lingkai Kong, Milind Tambe
2025 J jnl
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards.
CoRR
Xinyi Yang, Liang Zeng, Heng Dong, Chao Yu, Xiaoran Wu, Huazhong Yang, Yu Wang, Milind Tambe, Tonghan Wang
2025 J jnl
Preference Robustness for DPO with Applications to Public Health.
CoRR
Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe
2025 A* conf
Reinforcement learning with combinatorial actions for coupled restless bandits.
ICLR
Lily Xu, Bryan Wilder, Elias Boutros Khalil, Milind Tambe
2025 J jnl
Reinforcement learning with combinatorial actions for coupled restless bandits.
CoRR
Lily Xu, Bryan Wilder, Elias B. Khalil, Milind Tambe
2025 A conf
Robust Optimization with Diffusion Models for Green Security.
UAI
Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang, Haifeng Xu, Milind Tambe
2025 J jnl
Robust Optimization with Diffusion Models for Green Security.
CoRR
Lingkai Kong, Haichuan Wang, Yuqi Pan, Cheol Woo Kim, Mingxiao Song, Alayna Nguyen, Tonghan Wang, Haifeng Xu, Milind Tambe
2025 J jnl
Rule-Bottleneck Reinforcement Learning: Joint Explanation and Decision Optimization for Resource Allocation with Language Agents.
CoRR
Mauricio Tec, Guojun Xiong, Haichuan Wang, Francesca Dominici, Milind Tambe
2025 A* conf
The Bandit Whisperer: Communication Learning for Restless Bandits.
AAAI
Yunfan Zhao, Tonghan Wang, Dheeraj Mysore Nagaraj, Aparna Taneja, Milind Tambe
2025 J jnl
The Next Wave of AI for Social Impact: Challenges and Opportunities.
IEEE Intell. Syst.
Milind Tambe, Fei Fang, Andrew Perrault, Bryan Wilder
2025 A conf
Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact.
AAMAS
Yunfan Zhao, Niclas Boehmer, Aparna Taneja, Milind Tambe
2025 J jnl
VORTEX: Aligning Task Utility and Human Preferences through LLM-Guided Reward Shaping.
CoRR
Guojun Xiong, Milind Tambe
2025 A conf
What is the Right Notion of Distance between Predict-then-Optimize Tasks?
UAI
Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe
2024 J jnl
A Bayesian Approach to Online Learning for Contextual Restless Bandits with Applications to Public Health.
CoRR
Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson
2024 A* conf
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health.
NeurIPS
Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe
2024 J jnl
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health.
CoRR
Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe
2024 J jnl
Application-Driven Innovation in Machine Learning.
CoRR
David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
2024 — conf
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards.
GameSec (1)
Shresth Verma, Niclas Boehmer, Lingkai Kong, Milind Tambe
2024 J jnl
Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit Rewards.
CoRR
Shresth Verma, Niclas Boehmer, Lingkai Kong, Milind Tambe
2024 J jnl
Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health Program.
CoRR
Arpan Dasgupta, Gagan Jain, Arun Suggala, Karthikeyan Shanmugam, Milind Tambe, Aparna Taneja
2024 A conf
Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents.
ECAI
Lucia Gordon, Esther Rolf, Milind Tambe
2024 J jnl
Combining Diverse Information for Coordinated Action: Stochastic Bandit Algorithms for Heterogeneous Agents.
CoRR
Lucia Gordon, Esther Rolf, Milind Tambe
2024 J jnl
Contrasting local and global modeling with machine learning and satellite data: A case study estimating tree canopy height in African savannas.
CoRR
Esther Rolf, Lucia Gordon, Milind Tambe, Andrew Davies
2024 J jnl
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning.
CoRR
Sanket Shah, Arun Suggala, Milind Tambe, Aparna Taneja
2024 A conf
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-focused Learning.
AAMAS
Sanket Shah, Arun Suggala, Milind Tambe, Aparna Taneja
2024 A conf
Escape Sensing Games: Detection-vs-Evasion in Security Applications.
ECAI
Niclas Boehmer, Minbiao Han, Haifeng Xu, Milind Tambe
2024 J jnl
Escape Sensing Games: Detection-vs-Evasion in Security Applications.
CoRR
Niclas Boehmer, Minbiao Han, Haifeng Xu, Milind Tambe
2024 J jnl
Evaluating the Effectiveness of Index-Based Treatment Allocation.
CoRR
Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe
2024 J jnl
Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats.
CoRR
Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac, Peter Boucher, Andrew Davies, Milind Tambe
2024 A conf
Group Fairness in Predict-Then-Optimize Settings for Restless Bandits.
UAI
Shresth Verma, Yunfan Zhao, Sanket Shah, Niclas Boehmer, Aparna Taneja, Milind Tambe
2024 J jnl
IRL for Restless Multi-Armed Bandits with Applications in Maternal and Child Health.
CoRR
Gauri Jain, Pradeep Varakantham, Haifeng Xu, Aparna Taneja, Prashant Doshi, Milind Tambe
2024 — conf
IRL for Restless Multi-armed Bandits with Applications in Maternal and Child Health.
PRICAI (5)
Gauri Jain, Pradeep Varakantham, Haifeng Xu, Aparna Taneja, Prashant Doshi, Milind Tambe
2024 A* conf
Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms.
AAAI
Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja
2024 J jnl
Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms.
CoRR
Arshika Lalan, Shresth Verma, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja
2024 A conf
Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time Slot Selection.
AAMAS
Soumyabrata Pal, Milind Tambe, Arun Suggala, Karthikeyan Shanmugam, Aparna Taneja
2024 J jnl
Improving the Prediction of Individual Engagement in Recommendations Using Cognitive Models.
CoRR
Roderick Seow, Yunfan Zhao, Duncan Wood, Milind Tambe, Cleotilde Gonzalez
2024 — conf
Improving the prediction of individual engagement in recommendations using cognitive models.
HealthRecSys@RecSys
Roderick Seow, Yunfan Zhao, Duncan Wood, Milind Tambe, Cleotilde Gonzalez
2024 A* conf
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize.
AAAI
Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe
2024 J jnl
Leveraging AI to improve health information access in the World's largest maternal mobile health program.
AI Mag.
Shresth Verma, Arshika Lalan, Paula Rodriguez Diaz, Panayiotis Danassis, Amrita Mahale, Kumar Madhu Sudan, Aparna Hegde, Milind Tambe, Aparna Taneja
2024 J jnl
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow.
CoRR
Tonghan Wang, Heng Dong, Yanchen Jiang, David C. Parkes, Milind Tambe
2024 — conf
On Sequential Fault-Intolerant Process Planning.
GameSec (2)
Andrzej Kaczmarczyk, Davin Choo, Niclas Boehmer, Milind Tambe, Haifeng Xu
2024 J jnl
Optimizing Vital Sign Monitoring in Resource-Constrained Maternal Care: An RL-Based Restless Bandit Approach.
CoRR
Niclas Boehmer, Yunfan Zhao, Guojun Xiong, Paula Rodriguez Diaz, Paola Del Cueto Cibrian, Joseph Ngonzi, Adeline Boatin, Milind Tambe
2024 A* conf
Position: Application-Driven Innovation in Machine Learning.
ICML
David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
2024 A* conf
Position: Social Environment Design Should be Further Developed for AI-based Policy-Making.
ICML
Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen
2024 J jnl
Preliminary Study of the Impact of AI-Based Interventions on Health and Behavioral Outcomes in Maternal Health Programs.
CoRR
Arpan Dasgupta, Niclas Boehmer, Neha Madhiwalla, Aparna Hegde, Bryan Wilder, Milind Tambe, Aparna Taneja
2024 J jnl
Social Environment Design.
CoRR
Edwin Zhang, Sadie Zhao, Tonghan Wang, Safwan Hossain, Henry Gasztowtt, Stephan Zheng, David C. Parkes, Milind Tambe, Yiling Chen
2024 J jnl
The Bandit Whisperer: Communication Learning for Restless Bandits.
CoRR
Yunfan Zhao, Tonghan Wang, Dheeraj Nagaraj, Aparna Taneja, Milind Tambe
2024 — conf
Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping.
Tiny Papers @ ICLR
Lauren H. Cooke, Harvey Klyne, Edwin Zhang, Cassidy Laidlaw, Milind Tambe, Finale Doshi-Velez
2024 — conf
Towards Fairness constrained Restless Multi-Armed Bandits: a Case Study of Maternal and child Care Domain.
Tiny Papers @ ICLR
Gargi Singh, Milind Tambe, Aparna Taneja
2024 J jnl
Towards Foundation-model-based Multiagent System to Accelerate AI for Social Impact.
CoRR
Yunfan Zhao, Niclas Boehmer, Aparna Taneja, Milind Tambe
2024 A conf
Towards Zero Shot Learning in Restless Multi-armed Bandits.
AAMAS
Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
2024 A* conf
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization.
IJCAI
Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
2024 A* conf
Transcendence: Generative Models Can Outperform The Experts That Train Them.
NeurIPS
Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham M. Kakade, Eran Malach
2024 J jnl
Transcendence: Generative Models Can Outperform The Experts That Train Them.
CoRR
Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham M. Kakade, Eran Malach
2024 J jnl
What is the Right Notion of Distance between Predict-then-Optimize Tasks?
CoRR
Paula Rodriguez Diaz, Lingkai Kong, Kai Wang, David Alvarez-Melis, Milind Tambe
2023 A conf
A Learning Approach to Complex Contagion Influence Maximization.
AAMAS
Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe
2023 A conf
AI-driven Prices for Externalities and Sustainability in Production Markets.
AAMAS
Panayiotis Danassis, Aris Filos-Ratsikas, Haipeng Chen, Milind Tambe, Boi Faltings
2023 — conf
Accounting for Uncertainty in Deceptive Signaling for Cybersecurity.
HICSS
Edward A. Cranford, Han-Ching Ou, Cleotilde Gonzalez, Milind Tambe, Christian Lebiere
2023 J jnl
Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation.
CoRR
Arshika Lalan, Shresth Verma, Kumar Madhu Sudan, Amrita Mahale, Aparna Hegde, Milind Tambe, Aparna Taneja
2023 — conf
Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks.
GameSec
Sonja Johnson-Yu, Jessie Finocchiaro, Kai Wang, Yevgeniy Vorobeychik, Arunesh Sinha, Aparna Taneja, Milind Tambe
2023 A* conf
Complex Contagion Influence Maximization: A Reinforcement Learning Approach.
IJCAI
Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice, Milind Tambe
2023 J jnl
Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits.
CoRR
Paritosh Verma, Shresth Verma, Aditya Mate, Aparna Taneja, Milind Tambe
2023 J jnl
Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health.
CoRR
Jackson A. Killian, Manish Jain, Yugang Jia, Jonathan Amar, Erich Huang, Milind Tambe
2023 J jnl
Expanding impact of mobile health programs: SAHELI for maternal and child care.
AI Mag.
Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja
2023 A conf
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks.
AAMAS
Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe
2023 J jnl
Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks.
CoRR
Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe
2023 A* conf
Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats.
IJCAI
Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac, Peter Boucher, Andrew Davies, Milind Tambe
2023 A* conf
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation.
AAAI
Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe
2023 A* conf
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation.
ICML
Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe
2023 J jnl
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation.
CoRR
Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe
2023 A* conf
Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care.
AAAI
Shresth Verma, Gargi Singh, Aditya Mate, Paritosh Verma, Sruthi Gorantla, Neha Madhiwalla, Aparna Hegde, Divy Thakkar, Manish Jain, Milind Tambe, Aparna Taneja
2023 A conf
Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits.
AAMAS
Abheek Ghosh, Dheeraj Nagaraj, Manish Jain, Milind Tambe
2023 J jnl
Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize.
CoRR
Sanket Shah, Andrew Perrault, Bryan Wilder, Milind Tambe
2023 A* conf
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare.
IJCAI
Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe
2023 J jnl
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare.
CoRR
Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe
2023 A conf
Modeling Robustness in Decision-Focused Learning as a Stackelberg Game.
AAMAS
Sonja Johnson-Yu, Kai Wang, Jessie Finocchiaro, Aparna Taneja, Milind Tambe
2023 A* conf
Optimistic Whittle Index Policy: Online Learning for Restless Bandits.
AAAI
Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe
2023 J jnl
Predicting micronutrient deficiency with publicly available satellite data.
AI Mag.
Elizabeth Bondi-Kelly, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe
2023 J jnl
Reflections from the Workshop on AI-Assisted Decision Making for Conservation.
CoRR
Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Y. Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa S. Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe
2023 A conf
Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning.
AAMAS
Shresth Verma, Aditya Mate, Kai Wang, Neha Madhiwalla, Aparna Hegde, Aparna Taneja, Milind Tambe
2023 A* conf
Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program.
AAAI
Jackson A. Killian, Arpita Biswas, Lily Xu, Shresth Verma, Vineet Nair, Aparna Taneja, Aparna Hegde, Neha Madhiwalla, Paula Rodriguez Diaz, Sonja Johnson-Yu, Milind Tambe
2023 A* conf
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health.
AAAI
Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe
2023 J jnl
Toward Computationally Efficient Inverse Reinforcement Learning via Reward Shaping.
CoRR
Lauren H. Cooke, Harvey Klyne, Edwin Zhang, Cassidy Laidlaw, Milind Tambe, Finale Doshi-Velez
2023 J jnl
Towards Zero Shot Learning in Restless Multi-armed Bandits.
CoRR
Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
2022 A* conf
ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria.
IJCAI
Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corinne Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, Ayan Mukhopadhyay
2022 J jnl
ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria.
CoRR
Vineet Nair, Kritika Prakash, Michael Wilbur, Aparna Taneja, Corinne Namblard, Oyindamola Adeyemo, Abhishek Dubey, Abiodun Adereni, Milind Tambe, Ayan Mukhopadhyay
2022 A* conf
AI for Social Impact: Results from Deployments for Public Health and Conversation.
KDD
Milind Tambe
2022 J jnl
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence.
CoRR
Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David C. Parkes, William H. Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller
2022 J jnl
Artificial Intelligence for Cyber Security (AICS).
CoRR
James Holt, Edward Raff, Ahmad Ridley, Dennis Ross, Arunesh Sinha, Diane Staheli, William Streilen, Milind Tambe, Yevgeniy Vorobeychik, Allan B. Wollaber
2022 J jnl
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits.
CoRR
Siddhartha Banerjee, Sean R. Sinclair, Milind Tambe, Lily Xu, Christina Lee Yu
2022 A* conf
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games.
AAAI
Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe
2022 J jnl
Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Care Domain.
CoRR
Kai Wang, Shresth Verma, Aditya Mate, Sanket Shah, Aparna Taneja, Neha Madhiwalla, Aparna Hegde, Milind Tambe
2022 A* conf
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses.
NeurIPS
Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
2022 J jnl
Designing effective masking strategies for cyberdefense through human experimentation and cognitive models.
Comput. Secur.
Palvi Aggarwal, Omkar Thakoor, Shahin Jabbari, Edward A. Cranford, Christian Lebiere, Milind Tambe, Cleotilde Gonzalez
2022 A conf
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems.
AAMAS
Aditya S. Mate, Arpita Biswas, Christoph Siebenbrunner, Susobhan Ghosh, Milind Tambe
2022 A* conf
Evolutionary Approach to Security Games with Signaling.
IJCAI
Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran
2022 J jnl
Evolutionary Approach to Security Games with Signaling.
CoRR
Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran
2022 A* conf
Facilitating Human-Wildlife Cohabitation through Conflict Prediction.
AAAI
Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe
2022 A* conf
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health.
AAAI
Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe
2022 J jnl
Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits.
CoRR
Abheek Ghosh, Dheeraj Nagaraj, Manish Jain, Milind Tambe
2022 J jnl
Learning (Local) Surrogate Loss Functions for Predict-Then-Optimize Problems.
CoRR
Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe
2022 A* conf
Micronutrient Deficiency Prediction via Publicly Available Satellite Data.
AAAI
Elizabeth Bondi, Haipeng Chen, Christopher D. Golden, Nikhil Behari, Milind Tambe
2022 A conf
Networked Restless Multi-Armed Bandits for Mobile Interventions.
AAMAS
Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe
2022 J jnl
Networked Restless Multi-Armed Bandits for Mobile Interventions.
CoRR
Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe
2022 J jnl
Optimistic Whittle Index Policy: Online Learning for Restless Bandits.
CoRR
Kai Wang, Lily Xu, Aparna Taneja, Milind Tambe
2022 A* conf
Ranked Prioritization of Groups in Combinatorial Bandit Allocation.
IJCAI
Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe
2022 J jnl
Ranked Prioritization of Groups in Combinatorial Bandit Allocation.
CoRR
Lily Xu, Arpita Biswas, Fei Fang, Milind Tambe
2022 A conf
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning.
UAI
Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe
2022 A conf
Solving structured hierarchical games using differential backward induction.
UAI
Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik
2022 A* conf
Using Public Data to Predict Demand for Mobile Health Clinics.
AAAI
Haipeng Chen, Susobhan Ghosh, Gregory Fan, Nikhil Behari, Arpita Biswas, Mollie Williams, Nancy E. Oriol, Milind Tambe
2021 J jnl
A Game-Theoretic Approach for Hierarchical Policy-Making.
CoRR
Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik
2021 A conf
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach.
AAMAS
Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe
2021 J jnl
Active Screening for Recurrent Diseases: A Reinforcement Learning Approach.
CoRR
Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe
2021 J jnl
Allocating outreach resources for disease control in a dynamic population with information spread.
IISE Trans.
Bryan Wilder, Sze-Chuan Suen, Milind Tambe
2021 A conf
Beyond "To Act or Not to Act": Fast Lagrangian Approaches to General Multi-Action Restless Bandits.
AAMAS
Jackson A. Killian, Andrew Perrault, Milind Tambe
2021 A* conf
Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness.
AAAI
Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe
2021 A conf
Cohorting to Isolate Asymptomatic Spreaders: An Agent-Based Simulation Study on the Mumbai Suburban Railway.
AAMAS
Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe
2021 J jnl
Contingency-Aware Influence Maximization: A Reinforcement Learning Approach.
CoRR
Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe
2021 A conf
Contingency-aware influence maximization: A reinforcement learning approach.
UAI
Haipeng Chen, Wei Qiu, Han-Ching Ou, Bo An, Milind Tambe
2021 J jnl
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games.
CoRR
Kai Wang, Lily Xu, Andrew Perrault, Michael K. Reiter, Milind Tambe
2021 A* conf
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security.
AAAI
Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe
2021 J jnl
Efficient Algorithms for Finite Horizon and Streaming Restless Multi-Armed Bandit Problems.
CoRR
Aditya Mate, Arpita Biswas, Christoph Siebenbrunner, Milind Tambe
2021 J jnl
Facilitating human-wildlife cohabitation through conflict prediction.
CoRR
Susobhan Ghosh, Pradeep Varakantham, Aniket Bhatkhande, Tamanna Ahmad, Anish Andheria, Wenjun Li, Aparna Taneja, Divy Thakkar, Milind Tambe
2021 A* conf
Fair Influence Maximization: a Welfare Optimization Approach.
AAAI
Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe
2021 J jnl
Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health.
CoRR
Aditya Mate, Lovish Madaan, Aparna Taneja, Neha Madhiwalla, Shresth Verma, Gargi Singh, Aparna Hegde, Pradeep Varakantham, Milind Tambe
2021 J jnl
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling.
CoRR
Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe
2021 A* conf
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare.
IJCAI
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe
2021 J jnl
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare.
CoRR
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe
2021 A conf
Learning Index Policies for Restless Bandits with Application to Maternal Healthcare.
AAMAS
Arpita Biswas, Gaurav Aggarwal, Pradeep Varakantham, Milind Tambe
2021 A* conf
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning.
NeurIPS
Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe
2021 J jnl
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning.
CoRR
Kai Wang, Sanket Shah, Haipeng Chen, Andrew Perrault, Finale Doshi-Velez, Milind Tambe
2021 — conf
Measuring Data Collection Diligence for Community Healthcare.
EAAMO
Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Hamid Abdullah, Divy Thakkar, Dhyanesh Narayanan, Milind Tambe
2021 A* conf
Q-Learning Lagrange Policies for Multi-Action Restless Bandits.
KDD
Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe
2021 J jnl
Q-Learning Lagrange Policies for Multi-Action Restless Bandits.
CoRR
Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe
2021 A conf
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty.
AAMAS
Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe
2021 A conf
Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits.
AAMAS
Aditya Mate, Andrew Perrault, Milind Tambe
2021 J jnl
Robust Reinforcement Learning Under Minimax Regret for Green Security.
CoRR
Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe
2021 J jnl
Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning.
CoRR
Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe
2021 A conf
Robust reinforcement learning under minimax regret for green security.
UAI
Lily Xu, Andrew Perrault, Fei Fang, Haipeng Chen, Milind Tambe
2021 J jnl
Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health Outcomes.
CoRR
Siddharth Nishtala, Lovish Madaan, Aditya Mate, Harshavardhan Kamarthi, Anirudh Grama, Divy Thakkar, Dhyanesh Narayanan, Suresh Chaudhary, Neha Madhiwalla, Ramesh Padmanabhan, Aparna Hegde, Pradeep Varakantham, Balaraman Ravindran, Milind Tambe
2021 J jnl
Solving Structured Hierarchical Games Using Differential Backward Induction.
CoRR
Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik
2021 J jnl
Towards a Cognitive Theory of Cyber Deception.
Cogn. Sci.
Edward A. Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Milind Tambe, Sarah Cooney, Christian Lebiere
2021 A* conf
Tracking Disease Outbreaks from Sparse Data with Bayesian Inference.
AAAI
Bryan Wilder, Michael J. Mina, Milind Tambe
2020 J jnl
AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline.
CoRR
Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe
2020 C conf
Active Screening on Recurrent Diseases Contact Networks with Uncertainty: A Reinforcement Learning Approach.
MABS
Han-Ching Ou, Kai Wang, Finale Doshi-Velez, Milind Tambe
2020 — conf
Adaptive Cyber Deception: Cognitively Informed Signaling for Cyber Defense.
HICSS
Edward A. Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Sarah Cooney, Milind Tambe, Christian Lebiere
2020 J jnl
Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline.
AI Mag.
Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe
2020 A* conf
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems.
NeurIPS
Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
2020 J jnl
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems.
CoRR
Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
2020 A conf
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos.
WACV
Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe
2020 J jnl
Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness.
CoRR
Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe
2020 J jnl
Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway.
CoRR
Alok Talekar, Sharad Shriram, Nidhin K. Vaidhiyan, Gaurav Aggarwal, Jiangzhuo Chen, Srinivasan Venkatramanan, Lijing Wang, Aniruddha Adiga, Adam Sadilek, Ashish Tendulkar, Madhav V. Marathe, Rajesh Sundaresan, Milind Tambe
2020 A* conf
Collapsing Bandits and Their Application to Public Health Intervention.
NeurIPS
Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe
2020 J jnl
Collapsing Bandits and Their Application to Public Health Interventions.
CoRR
Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe
2020 J jnl
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security.
CoRR
Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe
2020 J jnl
Efficient Reservoir Management through Deep Reinforcement Learning.
CoRR
Xinrun Wang, Tarun Nair, Haoyang Li, Yuh Sheng Reuben Wong, Nachiket Kelkar, Srinivas Vaidyanathan, Rajat Nayak, Bo An, Jagdish Krishnaswamy, Milind Tambe
2020 A* conf
End-to-End Game-Focused Learning of Adversary Behavior in Security Games.
AAAI
Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe
2020 J jnl
Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery.
CoRR
Rachel Guo, Lily Xu, Drew Cronin, Francis Okeke, Andrew J. Plumptre, Milind Tambe
2020 — conf
Exploiting Bounded Rationality in Risk-Based Cyber Camouflage Games.
GameSec
Omkar Thakoor, Shahin Jabbari, Palvi Aggarwal, Cleotilde Gonzalez, Milind Tambe, Phebe Vayanos
2020 J jnl
Exploring Algorithmic Fairness in Robust Graph Covering Problems.
CoRR
Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe
2020 J jnl
Fair Influence Maximization: A Welfare Optimization Approach.
CoRR
Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Eric Rice, Milind Tambe
2020 — ch.
Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance.
Adaptive Autonomous Secure Cyber Systems
Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Phebe Vayanos
2020 J jnl
Game Theory on the Ground: The Effect of Increased Patrols on Deterring Poachers.
CoRR
Lily Xu, Andrew Perrault, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Milind Tambe
2020 A conf
Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling.
AAMAS
Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe
2020 A* conf
MIPaaL: Mixed Integer Program as a Layer.
AAAI
Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe
2020 J jnl
Measuring Data Collection Quality for Community Healthcare.
CoRR
Ramesha Karunasena, Mohammad Sarparajul Ambiya, Arunesh Sinha, Ruchit Nagar, Saachi Dalal, Divy Thakkar, Milind Tambe
2020 J jnl
Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagement.
CoRR
Siddharth Nishtala, Harshavardhan Kamarthi, Divy Thakkar, Dhyanesh Narayanan, Anirudh Grama, Ramesh Padmanabhan, Neha Madhiwalla, Suresh Chaudhary, Balaraman Ravindran, Milind Tambe
2020 J jnl
Modeling the dynamism of HIV information diffusion in multiplex networks of homeless youth.
Soc. Networks
Lindsay E. Young, Jerome R. Mayaud, Sze-Chuan Suen, Milind Tambe, Eric Rice
2020 J jnl
Preliminary Results from a Peer-Led, Social Network Intervention, Augmented by Artificial Intelligence to Prevent HIV among Youth Experiencing Homelessness.
CoRR
Eric Rice, Laura Onasch-Vera, Graham T. DiGuiseppi, Bryan Wilder, Robin Petering, Chyna Hill, Amulya Yadav, Milind Tambe
2020 J jnl
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty.
CoRR
Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe
2020 — conf
Robust Lock-Down Optimization for COVID-19 Policy Guidance.
AI4SG@AAAI Fall Symposium
Ankit Bhardwaj, Han-Ching Ou, Haipeng Chen, Shahin Jabbari, Milind Tambe, Rahul Panicker, Alpan Raval
2020 A conf
Robust Spatial-Temporal Incident Prediction.
UAI
Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel J. Kochenderfer, Milind Tambe, Yevgeniy Vorobeychik
2020 A conf
Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games.
AAMAS
Kai Wang, Andrew Perrault, Aditya Mate, Milind Tambe
2020 A* conf
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning.
AAAI
Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe
2020 A* conf
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version).
ICDE
Lily Xu, Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsabuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel
2020 A* conf
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability.
AAAI
Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
2020 J jnl
Toward Personalized Deceptive Signaling for Cyber Defense Using Cognitive Models.
Top. Cogn. Sci.
Edward A. Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Sarah Cooney, Milind Tambe, Christian Lebiere
2020 J jnl
Tracking disease outbreaks from sparse data with Bayesian inference.
CoRR
Bryan Wilder, Michael J. Mina, Milind Tambe
2020 A conf
Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty.
AAMAS
Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Alpan Raval, Milind Tambe
2019 J jnl
Artificial Intelligence for Social Good.
CoRR
Gregory D. Hager, Ann W. Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, Milind Tambe
2019 A conf
Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World.
AAMAS
Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
2019 J jnl
Computational sustainability: computing for a better world and a sustainable future.
Commun. ACM
Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman
2019 — conf
Cyber Camouflage Games for Strategic Deception.
GameSec
Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld, Fei Fang
2019 J jnl
Decision-Focused Learning of Adversary Behavior in Security Games.
CoRR
Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe
2019 A conf
Deep Fictitious Play for Games with Continuous Action Spaces.
AAMAS
Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
2019 — conf
DeepFP for Finding Nash Equilibrium in Continuous Action Spaces.
GameSec
Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe
2019 A conf
Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge.
AAMAS
Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe
2019 A* conf
End to end learning and optimization on graphs.
NeurIPS
Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe
2019 J jnl
End to end learning and optimization on graphs.
CoRR
Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe
2019 A* conf
Exploring Algorithmic Fairness in Robust Graph Covering Problems.
NeurIPS
Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe
2019 A conf
General-Sum Cyber Deception Games under Partial Attacker Valuation Information.
AAMAS
Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld
2019 A* conf
Group-Fairness in Influence Maximization.
IJCAI
Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick
2019 J jnl
Group-Fairness in Influence Maximization.
CoRR
Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick
2019 — conf
Improving GP-UCB Algorithm by Harnessing Decomposed Feedback.
PKDD/ECML Workshops (1)
Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe
2019 J jnl
Learning policies for Social network discovery with Reinforcement learning.
CoRR
Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe
2019 A* conf
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data.
KDD
Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
2019 J jnl
Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data.
CoRR
Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
2019 — conf
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games.
ECML/PKDD (1)
Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe
2019 J jnl
MIPaaL: Mixed Integer Program as a Layer.
CoRR
Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe
2019 A* conf
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization.
AAAI
Bryan Wilder, Bistra Dilkina, Milind Tambe
2019 — conf
Mobile Game Theory with Street Gangs.
PKDD/ECML Workshops (1)
Sarah Cooney, Wendy Gomez, Kai Wang, Jorja Leap, P. Jeffrey Brantingham, Milind Tambe
2019 A* conf
On the Inducibility of Stackelberg Equilibrium for Security Games.
AAAI
Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
2019 A conf
Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks.
AAMAS
Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Milind Tambe
2019 J jnl
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study).
CoRR
Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker
2019 J jnl
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning.
CoRR
Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe
2019 J jnl
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations.
CoRR
Shahrzad Gholami, Lily Xu, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubaga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel
2019 A conf
Using Game Theory in Real Time in the Real World: A Conservation Case Study.
AAMAS
Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
2019 A conf
Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries.
AAMAS
Sarah Cooney, Phebe Vayanos, Thanh Hong Nguyen, Cleotilde Gonzalez, Christian Lebiere, Edward A. Cranford, Milind Tambe
2019 — conf
When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games.
GameSec
Xinrun Wang, Milind Tambe, Branislav Bosanský, Bo An
2019 J jnl
Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty.
CoRR
Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Milind Tambe
2018 — conf
A Robust Optimization Approach to Designing Near-Optimal Strategies for Constant-Sum Monitoring Games.
GameSec
Aida Rahmattalabi, Phebe Vayanos, Milind Tambe
2018 A conf
Activating the: Modeling Influence Spread in Natural-World Social Networks.
AAMAS
Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe
2018 A conf
Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers.
AAMAS
Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga, Tom Okello, Eric Enyel
2018 C conf
AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs.
COMPASS
Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
2018 A* conf
Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth.
IJCAI
Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo
2018 A conf
Deceiving Cyber Adversaries: A Game Theoretic Approach.
AAMAS
Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Long Tran-Thanh, Phebe Vayanos, Yevgeniy Vorobeychik
2018 J jnl
Decentralized dynamic task allocation for UAVs with limited communication range.
CoRR
Marc Pujol-Gonzalez, Jesús Cerquides, Pedro Meseguer, Juan A. Rodríguez-Aguilar, Milind Tambe
2018 B conf
Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources.
CPAIOR
Mohammad Javad Azizi, Phebe Vayanos, Bryan Wilder, Eric Rice, Milind Tambe
2018 — conf
End to end influence maximization for HIV prevention.
AIH@IJCAI
Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe, Eric Rice
2018 A conf
End-to-End Influence Maximization in the Field.
AAMAS
Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe, Eric Rice
2018 A conf
Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints.
AAMAS
Kai Wang, Qingyu Guo, Phebe Vayanos, Milind Tambe, Bo An
2018 — conf
Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda.
AAAI Workshops
Shahrzad Gholami, Benjamin J. Ford, Debarun Kar, Fei Fang, Milind Tambe, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
2018 — conf
From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth.
ECML/PKDD (3)
Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton
2018 — conf
Imbalanced Collusive Security Games.
GameSec
Han-Ching Ou, Milind Tambe, Bistra Dilkina, Phebe Vayanos
2018 A conf
Inducible Equilibrium for Security Games.
AAMAS
Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
2018 A* conf
Influence Maximization for Social Network Based Substance Abuse Prevention.
AAAI
Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker
2018 B conf
Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games.
CogSci
Edward A. Cranford, Christian Lebiere, Cleotilde Gonzalez, Sarah Cooney, Phebe Vayanos, Milind Tambe
2018 A* conf
Maximizing Influence in an Unknown Social Network.
AAAI
Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe
2018 J jnl
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization.
CoRR
Bryan Wilder, Bistra Dilkina, Milind Tambe
2018 A conf
Mitigating the Curse of Correlation in Security Games by Entropy Maximization.
AAMAS
Haifeng Xu, Shaddin Dughmi, Milind Tambe, Venil Loyd Noronha
2018 A* conf
Near Real-Time Detection of Poachers from Drones in AirSim.
IJCAI
Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
2018 J jnl
On the Inducibility of Stackelberg Equilibrium for Security Games.
CoRR
Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
2018 A conf
Optimizing Network Structure for Preventative Health.
AAMAS
Bryan Wilder, Han-Ching Ou, Kayla de la Haye, Milind Tambe
2018 C conf
Partially Generative Neural Networks for Gang Crime Classification with Partial Information.
AIES
Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe, Yan Liu
2018 A conf
Please be an Influencer?: Contingency-Aware Influence Maximization.
AAMAS
Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Soriano Marcolino, Milind Tambe
2018 A* conf
Policy Learning for Continuous Space Security Games Using Neural Networks.
AAAI
Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe
2018 A* conf
Preventing Infectious Disease in Dynamic Populations Under Uncertainty.
AAAI
Bryan Wilder, Sze-Chuan Suen, Milind Tambe
2018 — conf
Preventing Infectious Disease in Dynamic Populations Under Uncertainty.
AAAI Workshops
Bryan Wilder, Sze-Chuan Suen, Milind Tambe
2018 A* conf
SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time.
AAAI
Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia
2018 — conf
Scaling-Up Stackelberg Security Games Applications Using Approximations.
GameSec
Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe
2018 A* conf
Stackelberg Security Games: Looking Beyond a Decade of Success.
IJCAI
Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe
2018 A* conf
Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games.
AAAI
Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe
2018 A* conf
The Price of Usability: Designing Operationalizable Strategies for Security Games.
IJCAI
Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe
2018 C conf
Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks.
AIES
Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe
2017 J jnl
Activating the "Breakfast Club": Modeling Influence Spread in Natural-World Social Networks.
CoRR
Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe
2017 A conf
Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data.
AAMAS
Debarun Kar, Benjamin J. Ford, Shahrzad Gholami, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
2017 A* conf
Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts.
IJCAI
Aaron Schlenker, Haifeng Xu, Mina Guirguis, Christopher Kiekintveld, Arunesh Sinha, Milind Tambe, Solomon Y. Sonya, Darryl Balderas, Noah Dunstatter
2017 J jnl
Every team deserves a second chance: an extended study on predicting team performance.
Auton. Agents Multi Agent Syst.
Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Vaishnavh Nagarajan, Milind Tambe
2017 — conf
Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth.
AAAI Fall Symposia
Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton
2017 — conf
Explanation Systems for Influence Maximization Algorithms.
SocInf@IJCAI
Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha
2017 A conf
Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application.
AAMAS
Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo
2017 — conf
Influence Maximization with an Unknown Network by Exploiting Community Structure.
SocInf@IJCAI
Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe
2017 J jnl
Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences.
AI Mag.
Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
2017 A* conf
Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information.
IJCAI
Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe
2017 — conf
Optimal Patrol Planning for Green Security Games with Black-Box Attackers.
GameSec
Haifeng Xu, Benjamin J. Ford, Fei Fang, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
2017 J jnl
PAWS - A Deployed Game-Theoretic Application to Combat Poaching.
AI Mag.
Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Brian C. Schwedock, Milind Tambe, Andrew Lemieux
2017 J jnl
Practical Scalability for Stackelberg Security Games.
CoRR
Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe
2017 J jnl
Predicting poaching for wildlife Protection.
IBM J. Res. Dev.
Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale
2017 A* conf
Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources.
IJCAI
Sara Marie McCarthy, Phebe Vayanos, Milind Tambe
2017 — conf
Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test.
ECML/PKDD (3)
Shahrzad Gholami, Benjamin J. Ford, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga
2017 J jnl
The Curse of Correlation in Security Games and Principle of Max-Entropy.
CoRR
Haifeng Xu, Milind Tambe, Shaddin Dughmi, Venil Loyd Noronha
2017 A conf
Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network.
AAMAS
Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe
2017 J jnl
Using social networks to raise HIV awareness among homeless youth.
IBM J. Res. Dev.
Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Robin Petering, Milind Tambe
2017 — conf
VIOLA: Video Labeling Application for Security Domains.
GameSec
Elizabeth Bondi, Fei Fang, Debarun Kar, Venil Loyd Noronha, Donnabell Dmello, Milind Tambe, Arvind Iyer, Robert Hannaford
2017 J jnl
Video Labeling for Automatic Video Surveillance in Security Domains.
CoRR
Elizabeth Bondi, Debarun Kar, Venil Loyd Noronha, Donnabell Dmello, Milind Tambe, Fei Fang, Arvind Iyer, Robert Hannaford
2016 — conf
Addressing Behavioral Uncertainty in Security Games: An Efficient Robust Strategic Solution for Defender Patrols.
IPDPS Workshops
Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe
2016 A conf
CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection.
AAMAS
Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale
2016 J jnl
Comparing human behavior models in repeated Stackelberg security games: An extended study.
Artif. Intell.
Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe, Arnaud Lyet
2016 A* conf
Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm.
AAAI
Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe
2016 — conf
Data Exfiltration Detection and Prevention: Virtually Distributed POMDPs for Practically Safer Networks.
GameSec
Sara Marie McCarthy, Arunesh Sinha, Milind Tambe, Pratyusa Manadhata
2016 — ed.
Decision and Game Theory for Security - 7th International Conference, GameSec 2016, New York, NY, USA, November 2-4, 2016, Proceedings
GameSec
Quanyan Zhu, Tansu Alpcan, Emmanouil A. Panaousis, Milind Tambe, William Casey
2016 A* conf
Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration).
AAAI
Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe
2016 A* conf
Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security.
AAAI
Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux
2016 — conf
Divide to Defend: Collusive Security Games.
GameSec
Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole D. Sintov, Milind Tambe
2016 A* conf
From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences.
AAAI
Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe
2016 A conf
Get Me to My GATE on Time: Efficiently Solving General-Sum Bayesian Threat Screening Games.
ECAI
Aaron Schlenker, Matthew Brown, Arunesh Sinha, Milind Tambe, Ruta Mehta
2016 A conf
HEALER: POMDP Planning for Scheduling Interventions among Homeless Youth (Demonstration).
AAMAS
Amulya Yadav, Ece Kamar, Barbara J. Grosz, Milind Tambe
2016 J jnl
Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals.
Games
Chao Zhang, Shahrzad Gholami, Debarun Kar, Arunesh Sinha, Manish Jain, Ripple Goyal, Milind Tambe
2016 B conf
Know Your Adversary: Insights for a Better Adversarial Behavioral Model.
CogSci
Yasaman Abbasi, Debarun Kar, Nicole D. Sintov, Milind Tambe, Noam Ben-Asher, Don Morrison, Cleotilde Gonzalez
2016 A conf
Learning Adversary Behavior in Security Games: A PAC Model Perspective.
AAMAS
Arunesh Sinha, Debarun Kar, Milind Tambe
2016 A* conf
One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats.
AAAI
Matthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe
2016 — conf
Optimal Allocation of Police Patrol Resources Using a Continuous-Time Crime Model.
GameSec
Ayan Mukhopadhyay, Chao Zhang, Yevgeniy Vorobeychik, Milind Tambe, Kenneth Pence, Paul Speer
2016 — conf
POMDPs for Assisting Homeless Shelters - Computational and Deployment Challenges.
AAMAS Workshops (Visionary Papers)
Amulya Yadav, Hau Chan, Albert Xin Jiang, Eric Rice, Ece Kamar, Barbara J. Grosz, Milind Tambe
2016 J jnl
PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead.
AI Mag.
Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael
2016 J jnl
Pilot Testing an Artificial Intelligence Algorithm That Selects Homeless Youth Peer Leaders Who Promote HIV Testing.
CoRR
Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Amulya Yadav, Milind Tambe
2016 A* conf
Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security.
AAAI
Sara Marie McCarthy, Milind Tambe, Christopher Kiekintveld, Meredith L. Gore, Alex Killion
2016 — conf
Protecting Wildlife under Imperfect Observation.
AAAI Workshop: Computer Poker and Imperfect Information Games
Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale
2016 Misc conf
Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections.
PAAMS
Benjamin J. Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld, Milind Tambe
2016 A conf
Restless Poachers: Handling Exploration-Exploitation Tradeoffs in Security Domains.
AAMAS
Yundi Qian, Chao Zhang, Bhaskar Krishnamachari, Milind Tambe
2016 A conf
SPECTRE: A Game Theoretic Framework for Preventing Collusion in Security Games (Demonstration).
AAMAS
Shahrzad Gholami, Bryan Wilder, Matthew Brown, Arunesh Sinha, Nicole D. Sintov, Milind Tambe
2016 A conf
Signaling in Bayesian Stackelberg Games.
AAMAS
Haifeng Xu, Rupert Freeman, Vincent Conitzer, Shaddin Dughmi, Milind Tambe
2016 A conf
Simultaneous Influencing and Mapping Social Networks: (Extended Abstract).
AAMAS
Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe
2016 — conf
Simultaneous Influencing and Mapping for Health Interventions.
AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI
Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe
2016 A* conf
Three Strategies to Success: Learning Adversary Models in Security Games.
IJCAI
Nika Haghtalab, Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Ariel D. Procaccia, Milind Tambe
2016 A conf
Toward Addressing Collusion Among Human Adversaries in Security Games.
ECAI
Shahrzad Gholami, Bryan Wilder, Matthew Brown, Dana Thomas, Nicole D. Sintov, Milind Tambe
2016 A conf
Using Abstractions to Solve Opportunistic Crime Security Games at Scale.
AAMAS
Chao Zhang, Victor Bucarey, Ayan Mukhopadhyay, Arunesh Sinha, Yundi Qian, Yevgeniy Vorobeychik, Milind Tambe
2016 J jnl
Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty - An Extended Version.
CoRR
Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe
2016 A conf
Using Social Networks to Aid Homeless Shelters: Dynamic Influence Maximization under Uncertainty.
AAMAS
Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe
2015 A conf
"A Game of Thrones": When Human Behavior Models Compete in Repeated Stackelberg Security Games.
AAMAS
Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe
2015 A conf
A Unifying Methodology for Confronting Uncertainties in Security Games: Advances and Algorithms: (Doctoral Consortium).
AAMAS
Thanh Hong Nguyen, Milind Tambe
2015 — conf
Agents Vote for the Environment: Designing Energy-Efficient Architecture.
AAAI Workshop: Computational Sustainability
Leandro Soriano Marcolino, David Jason Gerber, Boian Kolev, Samori Price, Evangelos Pantazis, Ye Tian, Milind Tambe
2015 J jnl
An extended study on addressing defender teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs.
Multiagent Grid Syst.
Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe
2015 — conf
Beware the Soothsayer: From Attack Prediction Accuracy to Predictive Reliability in Security Games.
GameSec
Benjamin J. Ford, Thanh Hong Nguyen, Milind Tambe, Nicole D. Sintov, Francesco Maria Delle Fave
2015 A* conf
Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies.
AAAI
Branislav Bosanský, Albert Xin Jiang, Milind Tambe, Christopher Kiekintveld
2015 A conf
Defender Strategies In Domains Involving Frequent Adversary Interaction.
AAMAS
Fei Fang, Peter Stone, Milind Tambe
2015 — conf
Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report.
AAAI Workshop: Computational Sustainability
Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe, Arlette van Wissen
2015 J jnl
Efficient solutions for joint activity based security games: fast algorithms, results and a field experiment on a transit system.
Auton. Agents Multi Agent Syst.
Francesco Maria Delle Fave, Eric Anyung Shieh, Manish Jain, Albert Xin Jiang, Heather Rosoff, Milind Tambe, John P. Sullivan
2015 A conf
Every Team Deserves a Second Chance: An Interactive 9x9 Go Experience (Demonstration).
AAMAS
Leandro Soriano Marcolino, Vaishnavh Nagarajan, Milind Tambe
2015 A* conf
Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version).
AAAI
Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe
2015 A conf
Every Team Deserves a Second Chance: Identifying when Things Go Wrong.
AAMAS
Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe
2015 — conf
Every Team Makes Mistakes: An Initial Report on Predicting Failure in Teamwork.
AAAI Workshop: Learning for General Competency in Video Games
Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe
2015 A* conf
Exploring Information Asymmetry in Two-Stage Security Games.
AAAI
Haifeng Xu, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe
2015 J jnl
From physical security to cybersecurity.
J. Cybersecur.
Arunesh Sinha, Thanh Hong Nguyen, Debarun Kar, Matthew Brown, Milind Tambe, Albert Xin Jiang
2015 A conf
Keeping Pace with Criminals: Designing Patrol Allocation Against Adaptive Opportunistic Criminals.
AAMAS
Chao Zhang, Arunesh Sinha, Milind Tambe
2015 J jnl
Learning Adversary Behavior in Security Games: A PAC Model Perspective.
CoRR
Arunesh Sinha, Debarun Kar, Milind Tambe
2015 A conf
Learning, Predicting and Planning against Crime: Demonstration Based on Real Urban Crime Data (Demonstration).
AAMAS
Chao Zhang, Manish Jain, Ripple Goyal, Arunesh Sinha, Milind Tambe
2015 — conf
Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games.
GameSec
Thanh Hong Nguyen, Francesco Maria Delle Fave, Debarun Kar, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe, Noa Agmon, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba
2015 — conf
Multi-agent Team Formation for Design Problems.
COIN@AAMAS/IJCAI
Leandro Soriano Marcolino, Haifeng Xu, David Jason Gerber, Boian Kolev, Samori Price, Evangelos Pantazis, Milind Tambe
2015 A* conf
Preventing HIV Spread in Homeless Populations Using PSINET.
AAAI
Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael
2015 A conf
Robust Strategy against Unknown Risk-averse Attackers in Security Games.
AAMAS
Yundi Qian, William B. Haskell, Milind Tambe
2015 J jnl
Security Games With Information Leakage: Modeling and Computation.
CoRR
Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe
2015 A* conf
Security Games with Information Leakage: Modeling and Computation.
IJCAI
Haifeng Xu, Albert Xin Jiang, Arunesh Sinha, Zinovi Rabinovich, Shaddin Dughmi, Milind Tambe
2015 A conf
Three Fundamental Pillars of Multi-agent Team Formation.
AAMAS
Leandro Soriano Marcolino, Milind Tambe
2015 A* conf
When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing.
IJCAI
Fei Fang, Peter Stone, Milind Tambe
2014 A conf
Adaptive resource allocation for wildlife protection against illegal poachers.
AAMAS
Rong Yang, Benjamin J. Ford, Milind Tambe, Andrew Lemieux
2014 — conf
Addressing Scalability and Robustness in Security Games with Multiple Boundedly Rational Adversaries.
GameSec
Matthew Brown, William B. Haskell, Milind Tambe
2014 — conf
Aggregating Opinions to Design Energy-Efficient Buildings.
MPREF@AAAI
Leandro Soriano Marcolino, Boian Kolev, Samori Price, Sreerag Palangat Veetil, David Jason Gerber, Josef Musil, Milind Tambe
2014 J jnl
An extended study on multi-objective security games.
Auton. Agents Multi Agent Syst.
Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe
2014 A conf
Building THINC: user incentivization and meeting rescheduling for energy savings.
AAMAS
Jun-young Kwak, Debarun Kar, William B. Haskell, Pradeep Varakantham, Milind Tambe
2014 J jnl
Computational Game Theory for Security and Sustainability.
J. Inf. Process.
Albert Xin Jiang, Manish Jain, Milind Tambe
2014 A* conf
Computing Solutions in Infinite-Horizon Discounted Adversarial Patrolling Games.
ICAPS
Yevgeniy Vorobeychik, Bo An, Milind Tambe, Satinder Singh
2014 — conf
Defending Against Opportunistic Criminals: New Game-Theoretic Frameworks and Algorithms.
GameSec
Chao Zhang, Albert Xin Jiang, Martin B. Short, P. Jeffrey Brantingham, Milind Tambe
2014 — conf
Diverse Randomized Agents Vote to Win.
NIPS
Albert Xin Jiang, Leandro Soriano Marcolino, Ariel D. Procaccia, Tuomas Sandholm, Nisarg Shah, Milind Tambe
2014 J jnl
Game-Theoretic Patrolling with Dynamic Execution Uncertainty and a Case Study on a Real Transit System.
J. Artif. Intell. Res.
Francesco Maria Delle Fave, Albert Xin Jiang, Zhengyu Yin, Chao Zhang, Milind Tambe, Sarit Kraus, John P. Sullivan
2014 J jnl
Game-Theoretic Target Selection in Contagion-Based Domains.
Comput. J.
Jason Tsai, Thanh Hong Nguyen, Nicholas Weller, Milind Tambe
2014 A* conf
Give a Hard Problem to a Diverse Team: Exploring Large Action Spaces.
AAAI
Leandro Soriano Marcolino, Haifeng Xu, Albert Xin Jiang, Milind Tambe, Emma Bowring
2014 A conf
Online planning for optimal protector strategies in resource conservation games.
AAMAS
Yundi Qian, William B. Haskell, Albert Xin Jiang, Milind Tambe
2014 A conf
PAWS: adaptive game-theoretic patrolling for wildlife protection.
AAMAS
Benjamin J. Ford, Debarun Kar, Francesco Maria Delle Fave, Rong Yang, Milind Tambe
2014 A* conf
Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty.
AAAI
Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier
2014 A* conf
Robust Protection of Fisheries with COmPASS.
AAAI
William B. Haskell, Debarun Kar, Fei Fang, Milind Tambe, Sam Cheung, Elizabeth Denicola
2014 A* conf
STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation.
AAAI
Matthew Brown, Sandhya Saisubramanian, Pradeep Varakantham, Milind Tambe
2014 — conf
Security Games in the Field: Deployments on a Transit System.
EMAS@AAMAS
Francesco Maria Delle Fave, Matthew Brown, Chao Zhang, Eric Anyung Shieh, Albert Xin Jiang, Heather Rosoff, Milind Tambe, John P. Sullivan
2014 A conf
Security games in the field: an initial study on a transit system.
AAMAS
Francesco Maria Delle Fave, Matthew Brown, Chao Zhang, Eric Anyung Shieh, Albert Xin Jiang, Heather Rosoff, Milind Tambe, John P. Sullivan
2014 A* conf
Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains.
AAAI
Haifeng Xu, Fei Fang, Albert Xin Jiang, Vincent Conitzer, Shaddin Dughmi, Milind Tambe
2014 J jnl
Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness.
CoRR
Dmytro Korzhyk, Zhengyu Yin, Christopher Kiekintveld, Vincent Conitzer, Milind Tambe
2014 A conf
Stop the compartmentalization: unified robust algorithms for handling uncertainties in security games.
AAMAS
Thanh Hong Nguyen, Albert Xin Jiang, Milind Tambe
2014 J jnl
TESLA: an extended study of an energy-saving agent that leverages schedule flexibility.
Auton. Agents Multi Agent Syst.
Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, Wendy Wood
2014 — conf
The Power of Teams that Disagree: Team Formation in Large Action Spaces.
COIN@AAMAS/PRICAI
Leandro Soriano Marcolino, Haifeng Xu, Albert Xin Jiang, Milind Tambe, Emma Bowring
2014 A conf
Towards a game theoretic approach for defending against crime diffusion.
AAMAS
Chao Zhang, Albert Xin Jiang, Martin B. Short, P. Jeffrey Brantingham, Milind Tambe
2014 A conf
Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork.
ECAI
Eric Anyung Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe
2013 J jnl
A Deployed Quantal Response-Based Patrol Planning System for the U.S. Coast Guard.
Interfaces
Bo An, Fernando Ordóñez, Milind Tambe, Eric Shieh, Rong Yang, Craig Baldwin, Joseph DiRenzo, Kathryn Moretti, Ben Maule, Garrett Meyer
2013 — conf
A Detailed Analysis of a Multi-agent Diverse Team.
COIN@AAMAS/PRIMA
Leandro Soriano Marcolino, Chao Zhang, Albert Xin Jiang, Milind Tambe
2013 A* conf
Analyzing the Effectiveness of Adversary Modeling in Security Games.
AAAI
Thanh Hong Nguyen, Rong Yang, Amos Azaria, Sarit Kraus, Milind Tambe
2013 — conf
Bayesian Security Games for Controlling Contagion.
SocialCom
Jason Tsai, Yundi Qian, Yevgeniy Vorobeychik, Christopher Kiekintveld, Milind Tambe
2013 A* conf
Defender (Mis)coordination in Security Games.
IJCAI
Albert Xin Jiang, Ariel D. Procaccia, Yundi Qian, Nisarg Shah, Milind Tambe
2013 A conf
Diversity beats strength?: a hands-on experience with 9x9 go.
AAMAS
Leandro Soriano Marcolino, Douglass Chen, Albert Xin Jiang, Milind Tambe
2013 A* conf
Efficiently Solving Joint Activity Based Security Games.
IJCAI
Eric Anyung Shieh, Manish Jain, Albert Xin Jiang, Milind Tambe
2013 J jnl
Empirical evaluation of computational fear contagion models in crowd dispersions.
Auton. Agents Multi Agent Syst.
Jason Tsai, Emma Bowring, Stacy Marsella, Milind Tambe
2013 — conf
Engineering the Decentralized Coordination of UAVs with Limited Communication Range.
CAEPIA
Marc Pujol-Gonzalez, Jesús Cerquides, Pedro Meseguer, Juan A. Rodríguez-Aguilar, Milind Tambe
2013 A conf
Game-theoretic patrol strategies for transit systems: the TRUSTS system and its mobile app.
AAMAS
Samantha Luber, Zhengyu Yin, Francesco Maria Delle Fave, Albert Xin Jiang, Milind Tambe, John P. Sullivan
2013 A conf
Game-theoretic randomization for security patrolling with dynamic execution uncertainty.
AAMAS
Albert Xin Jiang, Zhengyu Yin, Chao Zhang, Milind Tambe, Sarit Kraus
2013 J jnl
Improving resource allocation strategies against human adversaries in security games: An extended study.
Artif. Intell.
Rong Yang, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe, Richard John
2013 J jnl
Mitigating multi-path fading in a mobile mesh network.
Ad Hoc Networks
Marcos Augusto M. Vieira, Matthew E. Taylor, Prateek Tandon, Manish Jain, Ramesh Govindan, Gaurav S. Sukhatme, Milind Tambe
2013 — conf
Modeling Crime Diffusion and Crime Suppression on Transportation Networks: An Initial Report.
AAAI Fall Symposia
Chao Zhang, Albert Xin Jiang, Martin B. Short, P. Jeffrey Brantingham, Milind Tambe
2013 A conf
Modeling human adversary decision making in security games: an initial report.
AAMAS
Thanh Hong Nguyen, James Pita, Rajiv T. Maheswaran, Milind Tambe, Amos Azaria, Sarit Kraus
2013 — conf
Monotonic Maximin: A Robust Stackelberg Solution against Boundedly Rational Followers.
GameSec
Albert Xin Jiang, Thanh Hong Nguyen, Milind Tambe, Ariel D. Procaccia
2013 A* conf
Multi-Agent Team Formation: Diversity Beats Strength?
IJCAI
Leandro Soriano Marcolino, Albert Xin Jiang, Milind Tambe
2013 A conf
Optimal patrol strategy for protecting moving targets with multiple mobile resources.
AAMAS
Fei Fang, Albert Xin Jiang, Milind Tambe
2013 J jnl
Planning and learning in security games.
SIGecom Exch.
Francesco Maria Delle Fave, Yundi Qian, Albert Xin Jiang, Matthew Brown, Milind Tambe
2013 J jnl
Protecting Moving Targets with Multiple Mobile Resources.
J. Artif. Intell. Res.
Fei Fang, Albert Xin Jiang, Milind Tambe
2013 A* conf
Randomizing regression tests using game theory.
ASE
Nupul Kukreja, William G. J. Halfond, Milind Tambe
2013 A* conf
Scaling-up Security Games with Boundedly Rational Adversaries: A Cutting-plane Approach.
IJCAI
Rong Yang, Albert Xin Jiang, Milind Tambe, Fernando Ordóñez
2013 — ch.
Security Games Applied to Real-World: Research Contributions and Challenges.
Moving Target Defense
Manish Jain, Bo An, Milind Tambe
2013 A conf
Security games with contagion: handling asymmetric information.
AAMAS
Jason Tsai, Yundi Qian, Yevgeniy Vorobeychik, Christopher Kiekintveld, Milind Tambe
2013 A conf
Security games with surveillance cost and optimal timing of attack execution.
AAMAS
Bo An, Matthew Brown, Yevgeniy Vorobeychik, Milind Tambe
2013 A conf
Security scheduling for real-world networks.
AAMAS
Manish Jain, Vincent Conitzer, Milind Tambe
2013 A conf
TESLA: an energy-saving agent that leverages schedule flexibility.
AAMAS
Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Yu-Han Chang, Milind Tambe, Burcin Becerik-Gerber, Wendy Wood
2012 A conf
A Robust Approach to Addressing Human Adversaries in Security Games.
ECAI
James Pita, Richard John, Rajiv T. Maheswaran, Milind Tambe, Sarit Kraus
2012 B conf
A Study of Emotional Contagion with Virtual Characters.
IVA
Jason Tsai, Emma Bowring, Stacy Marsella, Wendy Wood, Milind Tambe
2012 — conf
A Study of Phase Transitions in Security Games.
AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health
Manish Jain, Kevin Leyton-Brown, Milind Tambe
2012 A conf
A robust approach to addressing human adversaries in security games.
AAMAS
James Pita, Richard John, Rajiv T. Maheswaran, Milind Tambe, Rong Yang, Sarit Kraus
2012 A conf
A unified method for handling discrete and continuous uncertainty in Bayesian Stackelberg games.
AAMAS
Zhengyu Yin, Milind Tambe
2012 — conf
Adversarial Patrolling Games.
AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health
Yevgeniy Vorobeychik, Bo An, Milind Tambe
2012 A conf
Adversarial patrolling games.
AAMAS
Yevgeniy Vorobeychik, Bo An, Milind Tambe
2012 A conf
AgentPolis: towards a platform for fully agent-based modeling of multi-modal transportation (demonstration).
AAMAS
Michal Jakob, Zbynek Moler, Antonín Komenda, Zhengyu Yin, Albert Xin Jiang, Matthew Paul Johnson, Michal Pechoucek, Milind Tambe
2012 J jnl
An Overview of Recent Application Trends at the AAMAS Conference: Security, Sustainability and Safety.
AI Mag.
Manish Jain, Bo An, Milind Tambe
2012 — conf
Analysis of Heuristic Techniques for Controlling Contagion.
AAAI Fall Symposium: Social Networks and Social Contagion
Jason Tsai, Nicholas Weller, Milind Tambe
2012 — conf
Challenges in Patrolling to Maximize Pristine Forest Area (Position Paper).
AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health
Matthew P. Johnson, Fei Fang, Rong Yang, Milind Tambe, Heidi J. Albers
2012 A conf
Computing optimal strategy against quantal response in security games.
AAMAS
Rong Yang, Fernando Ordóñez, Milind Tambe
2012 A conf
Designing better strategies against human adversaries in network security games.
AAMAS
Rong Yang, Fei Fang, Albert Xin Jiang, Karthik Rajagopal, Milind Tambe, Rajiv T. Maheswaran
2012 A conf
Detection of suspicious behavior from a sparse set of multiagent interactions.
AAMAS
Bostjan Kaluza, Gal A. Kaminka, Milind Tambe
2012 A conf
Emotional contagion with virtual characters.
AAMAS
Jason Tsai, Emma Bowring, Stacy Marsella, Milind Tambe
2012 — conf
Game Theory for Security: A Real-World Challenge Problem for Multiagent Systems and Beyond.
AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health
Milind Tambe, Bo An
2012 — conf
Game theory for security: Key algorithmic principles, deployed systems, lessons learned.
Allerton Conference
Milind Tambe, Manish Jain, James Adam Pita, Albert Xin Jiang
2012 A conf
Game-theoretic resource allocation for malicious packet detection in computer networks.
AAMAS
Ondrej Vanek, Zhengyu Yin, Manish Jain, Branislav Bosanský, Milind Tambe, Michal Pechoucek
2012 — conf
Getting Started on a Real-World Challenge Problem in Computational Game Theory and Beyond.
AAAI Spring Symposium: AI, The Fundamental Social Aggregation Challenge
Milind Tambe, Bo An
2012 A conf
Multi-objective optimization for security games.
AAMAS
Matthew Brown, Bo An, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe
2012 J jnl
PROTECT - A Deployed Game Theoretic System for Strategic Security Allocation for the United States Coast Guard.
AI Mag.
Bo An, Eric Shieh, Milind Tambe, Rong Yang, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer
2012 A* conf
PROTECT: An Application of Computational Game Theory for the Security of the Ports of the United States.
AAAI
Eric Anyung Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer
2012 A conf
PROTECT: a deployed game theoretic system to protect the ports of the United States.
AAMAS
Eric Shieh, Bo An, Rong Yang, Milind Tambe, Craig Baldwin, Joseph DiRenzo, Ben Maule, Garrett Meyer
2012 A* conf
Patrol Strategies to Maximize Pristine Forest Area.
AAAI
Matthew Paul Johnson, Fei Fang, Milind Tambe
2012 J jnl
Reports of the AAAI 2012 Spring Symposia.
AI Mag.
Harith Alani, Bo An, Manish Jain, Takashi Kido, George Dimitri Konidaris, William F. Lawless, David L. Martin, Caroline Pantofaru, Donald A. Sofge, Keiki Takadama, Milind Tambe, Tomas Vitvar
2012 A conf
SAVES: a sustainable multiagent application to conserve building energy considering occupants.
AAMAS
Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood
2012 A* conf
Security Games for Controlling Contagion.
AAAI
Jason Tsai, Thanh Hong Nguyen, Milind Tambe
2012 — conf
Security Games on Social Networks.
AAAI Fall Symposium: Social Networks and Social Contagion
Thanh Hong Nguyen, Jason Tsai, Albert Xin Jiang, Emma Bowring, Rajiv T. Maheswaran, Milind Tambe
2012 A* conf
Security Games with Limited Surveillance.
AAAI
Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder Singh, Milind Tambe, Yevgeniy Vorobeychik
2012 — conf
Security Games with Limited Surveillance: An Initial Report.
AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health
Bo An, David Kempe, Christopher Kiekintveld, Eric Anyung Shieh, Satinder Singh, Milind Tambe, Yevgeniy Vorobeychik
2012 — book
Security and Game Theory - Algorithms, Deployed Systems, Lessons Learned.
Milind Tambe
2012 A conf
Sustainable multiagent application to conserve energy (demonstration).
AAMAS
Jun-young Kwak, Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe, Farrokh Jazizadeh, Geoffrey Kavulya, Laura Klein, Burcin Becerik-Gerber, Timothy Hayes, Wendy Wood
2012 J jnl
TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems Using Game Theory.
AI Mag.
Zhengyu Yin, Albert Xin Jiang, Milind Tambe, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm, John P. Sullivan
2012 C conf
TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems.
IAAI
Zhengyu Yin, Albert Xin Jiang, Matthew Paul Johnson, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm, Milind Tambe, John P. Sullivan
2012 A* conf
The Deployment-to-Saturation Ratio in Security Games.
AAAI
Manish Jain, Kevin Leyton-Brown, Milind Tambe
2012 — conf
Towards Optimal Patrol Strategies for Fare Inspection in Transit Systems.
AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health
Albert Xin Jiang, Zhengyu Yin, Matthew P. Johnson, Milind Tambe, Christopher Kiekintveld, Kevin Leyton-Brown, Tuomas Sandholm
2011 A conf
A double oracle algorithm for zero-sum security games on graphs.
AAMAS
Manish Jain, Dmytro Korzhyk, Ondrej Vanek, Vincent Conitzer, Michal Pechoucek, Milind Tambe
2011 J jnl
A probabilistic risk analysis for multimodal entry control.
Expert Syst. Appl.
Bostjan Kaluza, Erik Dovgan, Tea Tusar, Milind Tambe, Matjaz Gams
2011 — conf
Addressing Execution and Observation Error in Security Games.
Applied Adversarial Reasoning and Risk Modeling
Manish Jain, Zhengyu Yin, Milind Tambe, Fernando Ordóñez
2011 A conf
Approximation methods for infinite Bayesian Stackelberg games: modeling distributional payoff uncertainty.
AAMAS
Christopher Kiekintveld, Janusz Marecki, Milind Tambe
2011 A* conf
Continuous Time Planning for Multiagent Teams with Temporal Constraints.
IJCAI
Zhengyu Yin, Milind Tambe
2011 J jnl
Distributed on-Line Multi-Agent Optimization under Uncertainty: Balancing Exploration and Exploitation.
Adv. Complex Syst.
Matthew E. Taylor, Manish Jain, Prateek Tandon, Makoto Yokoo, Milind Tambe
2011 A conf
ESCAPES: evacuation simulation with children, authorities, parents, emotions, and social comparison.
AAMAS
Jason Tsai, Natalie Fridman, Emma Bowring, Matthew Brown, Shira Epstein, Gal A. Kaminka, Stacy Marsella, Andrew Ogden, Inbal Rika, Ankur Sheel, Matthew E. Taylor, Xuezhi Wang, Avishay Zilka, Milind Tambe
2011 B conf
Empirical Evaluation of Computational Emotional Contagion Models.
IVA
Jason Tsai, Emma Bowring, Stacy Marsella, Milind Tambe
2011 A* conf
GUARDS - Innovative Application of Game Theory for National Airport Security.
IJCAI
James Pita, Milind Tambe, Christopher Kiekintveld, Shane Cullen, Erin Steigerwald
2011 J jnl
GUARDS and PROTECT: next generation applications of security games.
SIGecom Exch.
Bo An, James Pita, Eric Anyung Shieh, Milind Tambe, Christopher Kiekintveld, Janusz Marecki
2011 A conf
GUARDS: game theoretic security allocation on a national scale.
AAMAS
James Pita, Milind Tambe, Christopher Kiekintveld, Shane Cullen, Erin Steigerwald
2011 — conf
Game Theory and Human Behavior: Challenges in Security and Sustainability.
ADT
Rong Yang, Milind Tambe, Manish Jain, Jun-young Kwak, James Pita, Zhengyu Yin
2011 C conf
Game Theory for Security: An Important Challenge for Multiagent Systems.
EUMAS
Bo An, Milind Tambe
2011 B conf
Game Theory for Security: Lessons Learned from Deployed Applications.
PRIMA
Milind Tambe
2011 J jnl
Hybrid BDI-POMDP Framework for Multiagent Teaming
CoRR
Ranjit Nair, Milind Tambe
2011 A conf
Improved computational models of human behavior in security games.
AAMAS
Rong Yang, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe, Richard John
2011 A* conf
Improving Resource Allocation Strategy against Human Adversaries in Security Games.
IJCAI
Rong Yang, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe, Richard John
2011 — conf
Mixed-Initiative Optimization in Security Games: A Preliminary Report.
AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration
Bo An, Manish Jain, Milind Tambe, Christopher Kiekintveld
2011 J jnl
Monitoring Teams by Overhearing: A Multi-Agent Plan-Recognition Approach
CoRR
Gal A. Kaminka, David V. Pynadath, Milind Tambe
2011 A conf
Quality guarantees for region optimal DCOP algorithms.
AAMAS
Meritxell Vinyals, Eric Anyung Shieh, Jesús Cerquides, Juan A. Rodríguez-Aguilar, Zhengyu Yin, Milind Tambe, Emma Bowring
2011 A conf
Quality-bounded solutions for finite Bayesian Stackelberg games: scaling up.
AAMAS
Manish Jain, Christopher Kiekintveld, Milind Tambe
2011 A* conf
Refinement of Strong Stackelberg Equilibria in Security Games.
AAAI
Bo An, Milind Tambe, Fernando Ordóñez, Eric Anyung Shieh, Christopher Kiekintveld
2011 A* conf
Risk-Averse Strategies for Security Games with Execution and Observational Uncertainty.
AAAI
Zhengyu Yin, Manish Jain, Milind Tambe, Fernando Ordóñez
2011 J jnl
Robust Agent Teams via Socially-Attentive Monitoring
CoRR
Gal A. Kaminka, Milind Tambe
2011 J jnl
Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness.
J. Artif. Intell. Res.
Dmytro Korzhyk, Zhengyu Yin, Christopher Kiekintveld, Vincent Conitzer, Milind Tambe
2011 A conf
Teamwork in distributed POMDPs: execution-time coordination under model uncertainty.
AAMAS
Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, Milind Tambe
2011 J jnl
The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models
CoRR
David V. Pynadath, Milind Tambe
2011 — conf
Toward Addressing Human Behavior with Observational Uncertainty in Security Games.
Applied Adversarial Reasoning and Risk Modeling
James Pita, Rong Yang, Milind Tambe, Richard John
2011 — conf
Towards Addressing Model Uncertainty: Robust Execution-Time Coordination for Teamwork.
IAT
Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, Milind Tambe
2011 J jnl
Towards Adjustable Autonomy for the Real World
CoRR
David V. Pynadath, Paul Scerri, Milind Tambe
2011 — conf
Towards Detection of Suspicious Behavior from Multiple Observations.
Plan, Activity, and Intent Recognition
Bostjan Kaluza, Gal A. Kaminka, Milind Tambe
2010 J jnl
A Framework for Evaluating Deployed Security Systems: Is There a Chink in your ARMOR?
Informatica (Slovenia)
Matthew E. Taylor, Christopher Kiekintveld, Craig Western, Milind Tambe
2010 A conf
Asynchronous algorithms for approximate distributed constraint optimization with quality bounds.
AAMAS
Christopher Kiekintveld, Zhengyu Yin, Atul Kumar, Milind Tambe
2010 J jnl
Balancing local resources and global goals in multiply-constrained DCOP.
Multiagent Grid Syst.
Emma Bowring, Milind Tambe, Makoto Yokoo
2010 — conf
Game Theory for Security: Lessons Learned from Deployed Applications.
Web Intelligence
Milind Tambe
2010 A conf
How to protect a city: strategic security placement in graph-based domains.
AAMAS
Jason Tsai, Zhengyu Yin, Jun-young Kwak, David Kempe, Christopher Kiekintveld, Milind Tambe
2010 J jnl
Introducing communication in Dis-POMDPs with locality of interaction.
Web Intell. Agent Syst.
Makoto Tasaki, Yuichi Yabu, Yuki Iwanari, Makoto Yokoo, Janusz Marecki, Pradeep Varakantham, Milind Tambe
2010 — conf
Methods and Algorithms for Infinite Bayesian Stackelberg Security Games - (Extended Abstract).
GameSec
Christopher Kiekintveld, Janusz Marecki, Milind Tambe
2010 A conf
Robust Bayesian methods for Stackelberg security games.
AAMAS
Christopher Kiekintveld, Milind Tambe, Janusz Marecki
2010 J jnl
Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition.
Artif. Intell.
James Pita, Manish Jain, Milind Tambe, Fernando Ordóñez, Sarit Kraus
2010 A* conf
Security Games with Arbitrary Schedules: A Branch and Price Approach.
AAAI
Manish Jain, Erim Kardes, Christopher Kiekintveld, Fernando Ordóñez, Milind Tambe
2010 J jnl
Software Assistants for Randomized Patrol Planning for the LAX Airport Police and the Federal Air Marshal Service.
Interfaces
Manish Jain, Jason Tsai, James Pita, Christopher Kiekintveld, Shyamsunder Rathi, Milind Tambe, Fernando Ordóñez
2010 A conf
Stackelberg vs. Nash in security games: interchangeability, equivalence, and uniqueness.
AAMAS
Zhengyu Yin, Dmytro Korzhyk, Christopher Kiekintveld, Vincent Conitzer, Milind Tambe
2010 — conf
Teamwork and Coordination under Model Uncertainty in DEC-POMDPs.
Interactive Decision Theory and Game Theory
Jun-young Kwak, Rong Yang, Zhengyu Yin, Matthew E. Taylor, Milind Tambe
2010 A* conf
Urban Security: Game-Theoretic Resource Allocation in Networked Domains.
AAAI
Jason Tsai, Zhengyu Yin, Jun-young Kwak, David Kempe, Christopher Kiekintveld, Milind Tambe
2010 A conf
When should there be a "Me" in "Team"?: distributed multi-agent optimization under uncertainty.
AAMAS
Matthew E. Taylor, Manish Jain, Yanquin Jin, Makoto Yokoo, Milind Tambe
2009 — ch.
Analyzing Dangers in Multiagent Rescue Using DEFACTO.
Safety and Security in Multiagent Systems
Janusz Marecki, Nathan Schurr, Milind Tambe, Paul Scerri
2009 — conf
Computing optimal randomized resource allocations for massive security games.
AAMAS (1)
Christopher Kiekintveld, Manish Jain, Jason Tsai, James Pita, Fernando Ordóñez, Milind Tambe
2009 — ch.
Coordinating Randomized Policies for Increasing Security in Multiagent Systems.
Safety and Security in Multiagent Systems
Praveen Paruchuri, Milind Tambe, Fernando Ordóñez, Sarit Kraus
2009 J jnl
Coordinating randomized policies for increasing security of agent systems.
Inf. Technol. Manag.
Praveen Paruchuri, Jonathan P. Pearce, Janusz Marecki, Milind Tambe, Fernando Ordóñez, Sarit Kraus
2009 A* conf
DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks.
IJCAI
Manish Jain, Matthew E. Taylor, Milind Tambe, Makoto Yokoo
2009 — conf
Effective solutions for real-world Stackelberg games: when agents must deal with human uncertainties.
AAMAS (1)
James Pita, Manish Jain, Fernando Ordóñez, Milind Tambe, Sarit Kraus, Reuma Magori-Cohen
2009 A* conf
Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping.
ICAPS
Pradeep Varakantham, Jun-young Kwak, Matthew E. Taylor, Janusz Marecki, Paul Scerri, Milind Tambe
2009 — conf
Improving adjustable autonomy strategies for time-critical domains.
AAMAS (1)
Nathan Schurr, Janusz Marecki, Milind Tambe
2009 — conf
Planning with continuous resources for agent teams.
AAMAS (2)
Janusz Marecki, Milind Tambe
2009 — ch.
Safety in the Context of Coordination via Adjustable Autonomy.
Safety and Security in Multiagent Systems
Paul Scerri, Katia P. Sycara, Milind Tambe
2009 J jnl
Security applications: lessons of real-world deployment.
SIGecom Exch.
James Pita, Harish Bellamane, Manish Jain, Christopher Kiekintveld, Jason Tsai, Fernando Ordóñez, Milind Tambe
2009 — conf
Sensitivity analysis for distributed optimization with resource constraints.
AAMAS (1)
Emma Bowring, Zhengyu Yin, Rob Zinkov, Milind Tambe
2009 J jnl
Using Game Theory for Los Angeles Airport Security.
AI Mag.
James Pita, Manish Jain, Fernando Ordóñez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, Sarit Kraus
2008 A* conf
ARMOR Security for Los Angeles International Airport.
AAAI
James Pita, Manish Jain, Fernando Ordóñez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, Sarit Kraus
2008 J jnl
Bayesian stackelberg games and their application for security at Los Angeles international airport.
SIGecom Exch.
Manish Jain, James Pita, Milind Tambe, Fernando Ordóñez, Praveen Paruchuri, Sarit Kraus
2008 — conf
Deployed ARMOR protection: the application of a game theoretic model for security at the Los Angeles International Airport.
AAMAS (Industry Track)
James Pita, Manish Jain, Janusz Marecki, Fernando Ordóñez, Christopher Portway, Milind Tambe, Craig Western, Praveen Paruchuri, Sarit Kraus
2008 A* conf
Efficient Algorithms to Solve Bayesian Stackelberg Games for Security Applications.
AAAI
Praveen Paruchuri, Jonathan P. Pearce, Janusz Marecki, Milind Tambe, Fernando Ordóñez, Sarit Kraus
2008 J jnl
Electric Elves: What Went Wrong and Why.
AI Mag.
Milind Tambe
2008 — conf
Introducing Communication in Dis-POMDPs with Locality of Interaction.
IAT
Makoto Tasaki, Yuichi Yabu, Yuki Iwanari, Makoto Yokoo, Milind Tambe, Janusz Marecki, Pradeep Varakantham
2008 — conf
Multiagent Adjustable Autonomy Framework (MAAF) for multi-robot, multi-human teams.
CTS
Amos Freedy, Onur Sert, Elan Freedy, James McDonough, Gershon Weltman, Milind Tambe, Tapana Gupta, William Grayson, Pedro Cabrera
2008 — conf
Not all agents are equal: scaling up distributed POMDPs for agent networks.
AAMAS (1)
Janusz Marecki, Tapana Gupta, Pradeep Varakantham, Milind Tambe, Makoto Yokoo
2008 — conf
On
AAMAS (2)
Emma Bowring, Jonathan P. Pearce, Christopher Portway, Manish Jain, Milind Tambe
2008 — conf
Playing games for security: an efficient exact algorithm for solving Bayesian Stackelberg games.
AAMAS (2)
Praveen Paruchuri, Jonathan P. Pearce, Janusz Marecki, Milind Tambe, Fernando Ordóñez, Sarit Kraus
2008 — conf
RIAACT: a robust approach to adjustable autonomy for human-multiagent teams.
AAMAS (3)
Nathan Schurr, Janusz Marecki, Milind Tambe
2008 J jnl
Solving Multiagent Networks using Distributed Constraint Optimization.
AI Mag.
Jonathan P. Pearce, Milind Tambe, Rajiv T. Maheswaran
2008 A* conf
Towards Faster Planning with Continuous Resources in Stochastic Domains.
AAAI
Janusz Marecki, Milind Tambe
2008 — conf
Using Science Fiction in Teaching Artificial Intelligence.
AAAI Spring Symposium: Using AI to Motivate Greater Participation in Computer Science
Milind Tambe, Anne Balsamo, Emma Bowring
2007 A* conf
A Fast Analytical Algorithm for Solving Markov Decision Processes with Real-Valued Resources.
IJCAI
Janusz Marecki, Sven Koenig, Milind Tambe
2007 — conf
An Efficient Heuristic for Security against Multiple Adversaries in Stackelberg Games.
AAAI Spring Symposium: Game Theoretic and Decision Theoretic Agents
Praveen Paruchuri, Jonathan P. Pearce, Milind Tambe, Fernando Ordóñez, Sarit Kraus
2007 J jnl
An Intelligent Personal Assistant for Task and Time Management.
AI Mag.
Karen L. Myers, Pauline Berry, Jim Blythe, Ken Conley, Melinda T. Gervasio, Deborah L. McGuinness, David N. Morley, Avi Pfeffer, Martha E. Pollack, Milind Tambe
2007 A conf
An efficient heuristic approach for security against multiple adversaries.
AAMAS
Praveen Paruchuri, Jonathan P. Pearce, Milind Tambe, Fernando Ordóñez, Sarit Kraus
2007 A conf
Demonstration of teamwork in uncertain domains using hybrid BDI-POMDP systems.
AAMAS
Tapana Gupta, Pradeep Varakantham, Timothy W. Rauenbusch, Milind Tambe
2007 A conf
Letting loose a SPIDER on a network of POMDPs: generating quality guaranteed policies.
AAMAS
Pradeep Varakantham, Janusz Marecki, Yuichi Yabu, Milind Tambe, Makoto Yokoo
2007 A conf
On opportunistic techniques for solving decentralized Markov decision processes with temporal constraints.
AAMAS
Janusz Marecki, Milind Tambe
2007 A* conf
Quality Guarantees on k-Optimal Solutions for Distributed Constraint Optimization Problems.
IJCAI
Jonathan P. Pearce, Milind Tambe
2007 — conf
SPIDER Attack on a Network of POMDPs: Towards Quality Bounded Solutions.
AAAI Spring Symposium: Game Theoretic and Decision Theoretic Agents
Pradeep Varakantham, Janusz Marecki, Milind Tambe, Makoto Yokoo
2007 A* conf
Towards Efficient Computation of Error Bounded Solutions in POMDPs: Expected Value Approximation and Dynamic Disjunctive Beliefs.
IJCAI
Pradeep Varakantham, Rajiv T. Maheswaran, Tapana Gupta, Milind Tambe
2006 — ch.
Agent-Based Simulations for Disaster Rescue Using the DEFACTO Coordination System.
Emergent Information Technologies and Enabling Policies for Counter-Terrorism
Janusz Marecki, Nathan Schurr, Milind Tambe
2006 A* conf
Analysis of Privacy Loss in Distributed Constraint Optimization.
AAAI
Rachel Greenstadt, Jonathan P. Pearce, Milind Tambe
2006 — conf
Asimovian Multiagents: Applying Laws of Robotics to Teams of Humans and Agents.
PROMAS
Nathan Schurr, Pradeep Varakantham, Emma Bowring, Milind Tambe, Barbara J. Grosz
2006 A conf
Conflict negotiation among personal calendar agents.
AAMAS
Pauline M. Berry, Cory Albright, Emma Bowring, Ken Conley, Kenneth Nitz, Jonathan P. Pearce, Bart Peintner, Shahin Saadati, Milind Tambe, Tomás E. Uribe, Neil Yorke-Smith
2006 — conf
Cooperative Team Plan: Planning, Execution, and Replanning.
AAAI Spring Symposium: Distributed Plan and Schedule Management
Emma Bowring, Milind Tambe, Makoto Yokoo
2006 — conf
Electric Elves: What Went Wrong and Why.
AAAI Spring Symposium: What Went Wrong and Why: Lessons from AI Research and Applications
Milind Tambe, Emma Bowring, Jonathan P. Pearce, Pradeep Varakantham, David V. Pynadath, Paul Scerri
2006 A conf
Experimental analysis of privacy loss in DCOP algorithms.
AAMAS
Rachel Greenstadt, Jonathan P. Pearce, Emma Bowring, Milind Tambe
2006 — conf
Exploiting Locality of Interaction in Networked Distributed POMDPs.
AAAI Spring Symposium: Distributed Plan and Schedule Management
Yoonheui Kim, Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo
2006 A conf
Multiply-constrained distributed constraint optimization.
AAMAS
Emma Bowring, Milind Tambe, Makoto Yokoo
2006 J jnl
Privacy Loss in Distributed Constraint Reasoning: A Quantitative Framework for Analysis and its Applications.
Auton. Agents Multi Agent Syst.
Rajiv T. Maheswaran, Jonathan P. Pearce, Emma Bowring, Pradeep Varakantham, Milind Tambe
2006 — conf
Security in Multiagent Systems by Policy Randomization.
AI&M
Praveen Paruchuri, Milind Tambe, Fernando Ordóñez, Sarit Kraus
2006 A conf
Security in multiagent systems by policy randomization.
AAMAS
Praveen Paruchuri, Milind Tambe, Fernando Ordóñez, Sarit Kraus
2006 — conf
Solution Sets for DCOPs and Graphical Games: Metrics and Bounds.
AI&M
Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe
2006 A conf
Solution sets for DCOPs and graphical games.
AAMAS
Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe
2006 A conf
Using multiagent teams to improve the training of incident commanders.
AAMAS
Nathan Schurr, Pratik Patil, Frédéric H. Pighin, Milind Tambe
2006 A conf
Winning back the CUP for distributed POMDPs: planning over continuous belief spaces.
AAMAS
Pradeep Varakantham, Ranjit Nair, Milind Tambe, Makoto Yokoo
2005 J jnl
Adopt: asynchronous distributed constraint optimization with quality guarantees.
Artif. Intell.
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Makoto Yokoo
2005 A conf
Allocating tasks in extreme teams.
AAMAS
Paul Scerri, Alessandro Farinelli, Steven Okamoto, Milind Tambe
2005 A conf
Conflicts in teamwork: hybrids to the rescue.
AAMAS
Milind Tambe, Emma Bowring, Hyuckchul Jung, Gal A. Kaminka, Rajiv T. Maheswaran, Janusz Marecki, Pragnesh Jay Modi, Ranjit Nair, Stephen Okamoto, Jonathan P. Pearce, Praveen Paruchuri, David V. Pynadath, Paul Scerri, Nathan Schurr, Pradeep Varakantham
2005 A conf
Demonstration of DEFACTO: training tool for incident commanders.
AAMAS
Nathan Schurr, Janusz Marecki, Milind Tambe, Paul Scerri
2005 A conf
Exploiting belief bounds: practical POMDPs for personal assistant agents.
AAMAS
Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe
2005 A conf
How local is that optimum?
AAMAS
Jonathan P. Pearce, Rajiv T. Maheswaran, Milind Tambe
2005 J jnl
Hybrid BDI-POMDP Framework for Multiagent Teaming.
J. Artif. Intell. Res.
Ranjit Nair, Milind Tambe
2005 — conf
Implementation Techniques for Solving POMDPs in Personal Assistant Agents.
PROMAS
Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe
2005 A* conf
Networked Distributed POMDPs: A Synergy of Distributed Constraint Optimization and POMDPs.
IJCAI
Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo
2005 A* conf
Networked Distributed POMDPs: A Synthesis of Distributed Constraint Optimization and POMDPs.
AAAI
Ranjit Nair, Pradeep Varakantham, Milind Tambe, Makoto Yokoo
2005 — conf
On Communication in Solving Distributed Constraint Satisfaction Problems.
CEEMAS
Hyuckchul Jung, Milind Tambe
2005 — conf
Optimize My Schedule but Keep It Flexible: Distributed Multi-Criteria Coordination for Personal Assistants.
AAAI Spring Symposium: Persistent Assistants: Living and Working with AI
Emma Bowring, Milind Tambe, Makoto Yokoo
2005 — conf
Practical POMDPs for Personal Assistant Domains.
AAAI Spring Symposium: Persistent Assistants: Living and Working with AI
Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe
2005 A conf
Preprocessing techniques for accelerating the DCOP algorithm ADOPT.
AAMAS
Syed Muhammad Ali, Sven Koenig, Milind Tambe
2005 J jnl
Research Directions for Service-Oriented Multiagent Systems.
IEEE Internet Comput.
Michael N. Huhns, Munindar P. Singh, Mark H. Burstein, Keith S. Decker, Edmund H. Durfee, Timothy W. Finin, Les Gasser, Hrishikesh J. Goradia, Nicholas R. Jennings, Kiran Lakkaraju, Hideyuki Nakashima, H. Van Dyke Parunak, Jeffrey S. Rosenschein, Alicia Ruvinsky, Gita Sukthankar, Samarth Swarup, Katia P. Sycara, Milind Tambe, Thomas Wagner, Rosa Laura Zavala Gutierrez
2005 — ch.
The DEFACTO System: Coordinating Human-Agent Teams for the Future of Disaster Response.
Multi-Agent Programming
Nathan Schurr, Janusz Marecki, John P. Lewis, Milind Tambe, Paul Scerri
2005 A* conf
The DEFACTO System: Training Tool for Incident Commanders.
AAAI
Nathan Schurr, Janusz Marecki, John P. Lewis, Milind Tambe, Paul Scerri
2005 A conf
The DEFACTO system for human omnipresence to coordinate agent teams: the future of disaster response.
AAMAS
Nathan Schurr, Janusz Marecki, Nikhil Kasinadhuni, Milind Tambe, John P. Lewis, Paul Scerri
2005 — conf
The Future of Disaster Response: Humans Working with Multiagent Teams using DEFACTO.
AAAI Spring Symposium: AI Technologies for Homeland Security
Nathan Schurr, Janusz Marecki, Milind Tambe, Paul Scerri, Nikhil Kasinadhuni, John P. Lewis
2005 — ch.
The Role of Emotions in Multiagent Teamwork.
Who Needs Emotions?
Ranjit Nair, Milind Tambe, Stacy Marsella
2005 J jnl
Towards flexible coordination of human-agent teams.
Multiagent Grid Syst.
Nathan Schurr, Janusz Marecki, Milind Tambe, Paul Scerri
2005 — conf
Valuations of Possible States (VPS): A Quantitative Framework for Analysis of Privacy Loss Among Collaborative Personal Assistant Agents.
AAAI Spring Symposium: Persistent Assistants: Living and Working with AI
Rajiv T. Maheswaran, Jonathan P. Pearce, Pradeep Varakantham, Emma Bowring, Milind Tambe
2005 A conf
Valuations of Possible States (VPS): a quantitative framework for analysis of privacy loss among collaborative personal assistant agents.
AAMAS
Rajiv T. Maheswaran, Jonathan P. Pearce, Pradeep Varakantham, Emma Bowring, Milind Tambe
2004 A conf
Allocating Roles in Extreme Teams.
AAMAS
Paul Scerri, Alessandro Farinelli, Stephen Okamoto, Milind Tambe
2004 J jnl
Automated Assistants for Analyzing Team Behaviors.
Auton. Agents Multi Agent Syst.
Ranjit Nair, Milind Tambe, Stacy Marsella, Taylor Raines
2004 A conf
Communication for Improving Policy Computation in Distributed POMDPs.
AAMAS
Ranjit Nair, Milind Tambe, Maayan Roth, Makoto Yokoo
2004 — conf
Coordinating Teams in Uncertain Environments: A Hybrid BDI-POMDP Approach.
PROMAS
Ranjit Nair, Milind Tambe
2004 — conf
Distributed Algorithms for DCOP: A Graphical-Game-Based Approach.
PDCS
Rajiv T. Maheswaran, Jonathan P. Pearce, Milind Tambe
2004 A conf
On Communication in Distributed Constraint Satisfaction.
AAMAS
Hyuckchul Jung, Milind Tambe
2004 A conf
Preprocessing Techniques for Distributed Constraint Optimization.
CP
Syed Muhammad Ali, Sven Koenig, Milind Tambe
2004 A conf
Taking DCOP to the Real World: Efficient Complete Solutions for Distributed Multi-Event Scheduling.
AAMAS
Rajiv T. Maheswaran, Milind Tambe, Emma Bowring, Jonathan P. Pearce, Pradeep Varakantham
2004 C conf
Token Approach for Role Allocation in Extreme Teams: Analysis and Experimental Evaluation.
WETICE
Paul Scerri, Alessandro Farinelli, Stephen Okamoto, Milind Tambe
2004 A conf
Towards a Formalization of Teamwork with Resource Constraints.
AAMAS
Praveen Paruchuri, Milind Tambe, Fernando Ordóñez, Sarit Kraus
2003 A conf
A prototype infrastructure for distributed robot-agent-person teams.
AAMAS
Paul Scerri, David V. Pynadath, W. Lewis Johnson, Paul S. Rosenbloom, Mei Si, Nathan Schurr, Milind Tambe
2003 — conf
Adjustable Autonomy Challenges in Personal Assistant Agents: A Position Paper.
Agents and Computational Autonomy
Rajiv T. Maheswaran, Milind Tambe, Pradeep Varakantham, Karen L. Myers
2003 J jnl
An Automated Teamwork Infrastructure for Heterogeneous Software Agents and Humans.
Auton. Agents Multi Agent Syst.
David V. Pynadath, Milind Tambe
2003 A conf
An asynchronous complete method for distributed constraint optimization.
AAMAS
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Makoto Yokoo
2003 Misc conf
Are Multiagent Algorithms Relevant for Real Hardware? A Case Study of Distributed Constraint Algorithms.
SAC
Paul Scerri, Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe
2003 A conf
Performance models for large scale multiagent systems: using distributed POMDP building blocks.
AAMAS
Hyuckchul Jung, Milind Tambe
2003 A conf
Role allocation and reallocation in multiagent teams: towards a practical analysis.
AAMAS
Ranjit Nair, Milind Tambe, Stacy Marsella
2003 A* conf
Taming Decentralized POMDPs: Towards Efficient Policy Computation for Multiagent Settings.
IJCAI
Ranjit Nair, Milind Tambe, Makoto Yokoo, David V. Pynadath, Stacy Marsella
2003 — conf
Team Oriented Programming and Proxy Agents: The Next Generation.
PROMAS
Paul Scerri, David V. Pynadath, Nathan Schurr, Alessandro Farinelli, Sudeep Gandhe, Milind Tambe
2002 — conf
Computational Models for Multiagent Coordination Analysis: Extending Distributed POMDP Models.
FAABS
Hyuckchul Jung, Ranjit Nair, Milind Tambe, Stacy Marsella
2002 J jnl
Editorial.
Artif. Intell.
Edmund H. Durfee, Sarit Kraus, Hideyuki Nakashima, Milind Tambe
2002 J jnl
Electric Elves: Agent Technology for Supporting Human Organizations.
AI Mag.
Hans Chalupsky, Yolanda Gil, Craig A. Knoblock, Kristina Lerman, Jean Oh, David V. Pynadath, Thomas A. Russ, Milind Tambe
2002 — ed.
Intelligent Agents VIII, 8th International Workshop, ATAL 2001 Seattle, WA, USA, August 1-3, 2001, Revised Papers
ATAL
John-Jules Ch. Meyer, Milind Tambe
2002 J jnl
Monitoring Teams by Overhearing: A Multi-Agent Plan-Recognition Approach.
J. Artif. Intell. Res.
Gal A. Kaminka, David V. Pynadath, Milind Tambe
2002 A conf
Multiagent teamwork: analyzing the optimality and complexity of key theories and models.
AAMAS
David V. Pynadath, Milind Tambe
2002 J jnl
Special Issue on Constraint Agents.
Constraints An Int. J.
Peggy S. Eaton, Thom W. Frühwirth, Milind Tambe
2002 C conf
Team Formation for Reformation in Multiagent Domains Like RoboCupRescue.
RoboCup
Ranjit Nair, Milind Tambe, Stacy Marsella
2002 J jnl
The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models.
J. Artif. Intell. Res.
David V. Pynadath, Milind Tambe
2002 J jnl
Towards Adjustable Autonomy for the Real World.
J. Artif. Intell. Res.
Paul Scerri, David V. Pynadath, Milind Tambe
2002 A conf
Why the elf acted autonomously: towards a theory of adjustable autonomy.
AAMAS
Paul Scerri, David V. Pynadath, Milind Tambe
2001 A conf
A Dynamic Distributed Constraint Satisfaction Approach to Resource Allocation.
CP
Pragnesh Jay Modi, Hyuckchul Jung, Milind Tambe, Wei-Min Shen, Shriniwas Kulkarni
2001 — conf
Adjustable autonomy in real-world multi-agent environments.
Agents
Paul Scerri, David V. Pynadath, Milind Tambe
2001 — conf
Argumentation as distributed constraint satisfaction: applications and results.
Agents
Hyuckchul Jung, Milind Tambe, Shriniwas Kulkarni
2001 — conf
Dynamic Distributed Resource Allocation: A Distributed Constraint Satisfaction Approach.
ATAL
Pragnesh Jay Modi, Hyuckchul Jung, Milind Tambe, Wei-Min Shen, Shriniwas Kulkarni
2001 C conf
Electric Elves: Applying Agent Technology to Support Human Organizations.
IAAI
Hans Chalupsky, Yolanda Gil, Craig A. Knoblock, Kristina Lerman, Jean Oh, David V. Pynadath, Thomas A. Russ, Milind Tambe
2001 J jnl
Experiences Acquired in the Design of RoboCup Teams: A Comparison of Two Fielded Teams.
Auton. Agents Multi Agent Syst.
Stacy Marsella, Milind Tambe, Jafar Adibi, Yaser Al-Onaizan, Gal A. Kaminka, Ion Muslea
2001 — conf
Introduction.
ATAL
John-Jules Ch. Meyer, Milind Tambe
2001 — conf
Monitoring deployed agent teams.
Agents
Gal A. Kaminka, David V. Pynadath, Milind Tambe
2001 — conf
Revisiting Asimov's First Law: A Response to the Call to Arms.
ATAL
David V. Pynadath, Milind Tambe
2001 C conf
Task Allocation in the RoboCup Rescue Simulation Domain: A Short Note.
RoboCup
Ranjit Nair, Takayuki Ito, Milind Tambe, Stacy Marsella
2001 — conf
Towards Heterogeneous Agent Teams.
EASSS
Milind Tambe, David V. Pynadath
2000 — conf
Adaptive Infrastructures for Agent Integration.
Agents Workshop on Infrastructure for Multi-Agent Systems
David V. Pynadath, Milind Tambe, Gal A. Kaminka
2000 — conf
Adjustable Autonomy: A Response.
ATAL
Milind Tambe, David V. Pynadath, Paul Scerri
2000 J jnl
Agent Assistants for Team Analysis.
AI Mag.
Milind Tambe, Taylor Raines, Stacy Marsella
2000 — conf
Automated assistants to aid humans in understanding team behaviors.
Agents
Taylor Raines, Milind Tambe, Stacy Marsella
2000 J jnl
Building Dynamic Agent Organizations in Cyberspace.
IEEE Internet Comput.
Milind Tambe, David V. Pynadath, Nicolas Chauvat
2000 — conf
Building dynamic organizations of distributed, heterogenous agents.
Agents
David V. Pynadath, Milind Tambe, Nicolas Chauvat
2000 J jnl
Overview of RoboCup-98.
AI Mag.
Minoru Asada, Manuela M. Veloso, Milind Tambe, Itsuki Noda, Hiroaki Kitano, Gerhard K. Kraetzschmar
2000 J jnl
Robust Agent Teams via Socially-Attentive Monitoring.
J. Artif. Intell. Res.
Gal A. Kaminka, Milind Tambe
2000 J jnl
Towards Flexible Teamwork in Persistent Teams: Extended Report.
Auton. Agents Multi Agent Syst.
Milind Tambe, Weixiong Zhang
2000 — conf
Towards Large-Scale Conflict Resolution: Initial Results.
ICMAS
Hyuckchul Jung, Milind Tambe, Weixiong Zhang, Wei-Min Shen
1999 C conf
Automated Assistants to Aid Humans in Understanding Team Behaviors.
RoboCup
Taylor Raines, Milind Tambe, Stacy Marsella
1999 — conf
Automated Team Analysis.
AAAI/IAAI
Taylor Raines, Milind Tambe, Stacy Marsella
1999 J jnl
Building Agent Teams Using an Explicit Teamwork Model and Learning.
Artif. Intell.
Milind Tambe, Jafar Adibi, Y. Alonaizon, Ali Erdem, Gal A. Kaminka, Stacy Marsella, Ion Muslea
1999 — conf
I'm OK, you're OK, we're OK: Experiments in Distributed and Centralized Socially Attentive Monitoring.
Agents
Gal A. Kaminka, Milind Tambe
1999 — conf
On Being a Teammate: Experiences Acquired in the design of RoboCup Teams.
Agents
Stacy Marsella, Jafar Adibi, Yaser Al-Onaizan, Gal A. Kaminka, Ion Muslea, Milind Tambe
1999 J jnl
The Benefits of Arguing in a Team.
AI Mag.
Milind Tambe, Hyuckchul Jung
1999 — conf
Toward Team-Oriented Programming.
ATAL
David V. Pynadath, Milind Tambe, Nicolas Chauvat, Lawrence Cavedon
1999 — conf
Towards Flexible Negotiation in Teamwork.
Agents
Zhun Qiu, Milind Tambe, Hyuckchul Jung
1999 A* conf
Two Fielded Teams and Two Experts: A RoboCup Challenge Response from the Trenches.
IJCAI
Milind Tambe, Gal A. Kaminka, Stacy Marsella, Ion Muslea, Taylor Raines
1998 — conf
A Synergy of Agent Components: Social Comparison for Failure Detection.
Agents
Gal A. Kaminka, Milind Tambe
1998 J jnl
Adaptive agent tracking in real-world multiagent domains: a preliminary report.
Int. J. Hum. Comput. Stud.
Milind Tambe, W. Lewis Johnson, Wei-Min Shen
1998 — ed.
Collective Robotics, First International Workshop, CRW'98, Paris, France, July 4-5, 1998, Proceedings.
CRW
Alexis Drogoul, Milind Tambe, Toshio Fukuda
1998 J jnl
ISIS: An Explicit Model of Teamwork at RobotCup-97.
AI Mag.
Milind Tambe, Jafar Adibi, Yaser Al-Onaizan, Ali Erdem, Gal A. Kaminka, Stacy Marsella, Ion Muslea, Marcelo Tallis
1998 J jnl
Implementing Agent Teams in Dynamic Multiagent Environments.
Appl. Artif. Intell.
Milind Tambe
1998 C conf
Overview of RoboCup-98.
RoboCup
Minoru Asada, Manuela M. Veloso, Milind Tambe, Itsuki Noda, Hiroaki Kitano, Gerhard K. Kraetzschmar
1998 — conf
The Belief-Desire-Intention Model of Agency.
ATAL
Michael P. Georgeff, Barney Pell, Martha E. Pollack, Milind Tambe, Michael J. Wooldridge
1998 — conf
Towards Flexible Teamwork in Persistent Teams.
ICMAS
Milind Tambe, Weixiong Zhang
1998 C conf
Using an Explicit Teamwork Model and Learning in RoboCup: An Extended Abstract.
RoboCup
Stacy Marsella, Jafar Adibi, Yaser Al-Onaizan, Ali Erdem, Randall W. Hill Jr., Gal A. Kaminka, Zhun Qiu, Milind Tambe
1998 — conf
What Is Wrong With Us? Improving Robustness Through Social Diagnosis.
AAAI/IAAI
Gal A. Kaminka, Milind Tambe
1997 J jnl
AAAI-96 Workshop on Agent Modeling (Workshop Report).
AI Mag.
Milind Tambe, Piotr J. Gmytrasiewicz
1997 — conf
Agent Architectures for Flexible, Practical Teamwork.
AAAI/IAAI
Milind Tambe
1997 — conf
Efficient Production Match Algorithm and Its Implication for Dynamic Constraint Satisfaction Problems.
AAAI/IAAI
Bonghan Cho, Paul S. Rosenbloom, Milind Tambe
1997 — conf
Intelligent Agents for the Synthetic Battlefield: A Company of Rotary Wing Aircraft.
AAAI/IAAI
Randall W. Hill Jr., Johnny Chen, Jonathan Gratch, Paul S. Rosenbloom, Milind Tambe
1997 — conf
Social Comparison for Failure Detection and Recovery in Multi-Agent Settings.
AAAI/IAAI
Gal A. Kaminka, Milind Tambe
1997 — conf
Social Comparison for Failure Detection and Recovery.
ATAL
Gal A. Kaminka, Milind Tambe
1997 — conf
The RoboCup Synthetic Agent Challenge 97.
IJCAI (1)
Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela M. Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, Minoru Asada
1997 C conf
The RoboCup Synthetic Agent Challenge 97.
RoboCup
Hiroaki Kitano, Milind Tambe, Peter Stone, Manuela M. Veloso, Silvia Coradeschi, Eiichi Osawa, Hitoshi Matsubara, Itsuki Noda, Minoru Asada
1997 J jnl
Towards Flexible Teamwork
CoRR
Milind Tambe
1997 J jnl
Towards Flexible Teamwork.
J. Artif. Intell. Res.
Milind Tambe
1997 C conf
Using an Explicit Model of Teamwork in RoboCup-97.
RoboCup
Milind Tambe, Jafar Adibi, Yaser Al-Onaizan, Ali Erdem, Gal A. Kaminka, Stacy Marsella, Ion Muslea, Marcelo Tallis
1996 J jnl
Event Tracking in a Dynamic Multiagent Environment.
Comput. Intell.
Milind Tambe, Paul S. Rosenbloom
1996 — ed.
Intelligent Agents II, Agent Theories, Architectures, and Languages, IJCAI '95, Workshop (ATAL), Montreal, Canada, August 19-20, 1995, Proceedings
ATAL
Michael J. Wooldridge, Jörg P. Müller, Milind Tambe
1996 — conf
Some Challenges in Tracking Agent Teams.
Agent Modeling
Milind Tambe, Ernesto Brodersohn-Ostrovich
1996 — conf
Tracking Dynamic Team Activity.
AAAI/IAAI, Vol. 1
Milind Tambe
1995 — conf
Agent Theories, Architectures, and Languages: A Bibliography.
ATAL
Michael J. Wooldridge, Jörg P. Müller, Milind Tambe
1995 — conf
Architectures for Agents that Track Other Agents in Multi-Agent Worlds.
ATAL
Milind Tambe, Paul S. Rosenbloom
1995 J jnl
Intelligent Agents for Interactive Simulation Environments.
AI Mag.
Milind Tambe, W. Lewis Johnson, Randolph M. Jones, Frank V. Koss, John E. Laird, Paul S. Rosenbloom, Karl Schwamb
1995 A* conf
RESC: An Approach for Real-time, Dynamic Agent Tracking.
IJCAI
Milind Tambe, Paul S. Rosenbloom
1995 — conf
Recursive Agent and Agent-Group Tracking in a Real-Time Dynamic Environment.
ICMAS
Milind Tambe
1994 C conf
Event Tracking for an Intelligent Automated Agent.
TIME
Milind Tambe, Paul S. Rosenbloom
1994 J jnl
Investigating Production System Representations for Non-Combinatorial Match.
Artif. Intell.
Milind Tambe, Paul S. Rosenbloom
1993 A conf
Collection Oriented Match.
CIKM
Anurag Acharya, Milind Tambe
1993 A* conf
On the Masking Effect.
AAAI
Milind Tambe, Paul S. Rosenbloom
1992 B conf
An Efficient Algorithm for Production Systems with Linear-Time Match.
ICTAI
Milind Tambe, Dirk Kalp, Paul S. Rosenbloom
1992 J jnl
Implementation of Production Systems on Message-Passing Computers.
IEEE Trans. Parallel Distributed Syst.
Anurag Acharya, Milind Tambe, Anoop Gupta
1992 B conf
Is Production System Match Interesting?
ICTAI
Mark Perlin, Jaime G. Carbonell, Daniel P. Miranker, Salvatore J. Stolfo, Milind Tambe
1992 A* conf
Learning 10, 000 Chunks: What's It Like Out There?
AAAI
Robert B. Doorenbos, Milind Tambe, Allen Newell
1992 J jnl
Workshop Report: Advances in Interfacing Production Systems with the Real World.
AI Mag.
Franz Barachini, Toru Ishida, Milind Tambe
1991 J jnl
The Effectiveness of Task-Level Parallelism for Production Systems.
J. Parallel Distributed Comput.
Wilson A. Harvey, Dirk Kalp, Milind Tambe, David M. McKeown, Allen Newell
1990 A* conf
A Frameworkfor Investigating Production System Formulations with Polynomially Bounded Match.
AAAI
Milind Tambe, Paul S. Rosenbloom
1990 B conf
The Effectiveness of Task-Level Parallelism for High-Level Vision.
PPoPP
Wilson A. Harvey, Dirk Kalp, Milind Tambe, David M. McKeown, Allen Newell
1990 J jnl
The Problem of Expensive Chunks and its Solution by Restricting Expressiveness.
Mach. Learn.
Milind Tambe, Allen Newell, Paul S. Rosenbloom
1989 A* conf
Eliminating Expensive Chunks by Restricting Expressiveness.
IJCAI
Milind Tambe, Paul S. Rosenbloom
1989 — conf
Production Systems on Message Passing Computers: Simulation Results and Analysis.
ICPP (2)
Anurag Acharya, Milind Tambe
1988 — conf
Parallel OPS5 on the Encore Multimax.
ICPP (1)
Anoop Gupta, Charles Forgy, Dirk Kalp, Allen Newell, Milind Tambe
1988 J jnl
Parallel implementation of OPS5 on the encore multiprocessor: Results and analysis.
Int. J. Parallel Program.
Anoop Gupta, Milind Tambe, Dirk Kalp, Charles Forgy, Allen Newell
1988 — conf
Soar/PSM-E: Investigating Match Parallelism in a Learning Production System.
PPOPP/PPEALS
Milind Tambe, Dirk Kalp, Anoop Gupta, Charles Forgy, Brian Milnes, Allen Newell
1988 — conf
Some Chunks Are Expensive.
ML
Milind Tambe, Allen Newell
1988 A* conf
Suitability of Message Passing Computers for Implementing Production Systems.
AAAI
Anoop Gupta, Milind Tambe