Prashant Doshi

198 papers A* 31A 51B 4Misc 8Journal 71Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decision-theoretic planning and cognitive modeling for active cyber deception. Artif. Intell. Aditya Shinde, Prashant Doshi
2025	A*	`conf`	A Novel Computational Framework of Robot Trust for Human-Robot Teams. ICRA Bhavana Nare, John Frericks, Anusha Challa, Prashant Doshi, Kyle Johnsen
2025	J	`jnl`	Active legibility in multiagent reinforcement learning. Artif. Intell. Yanyu Liu, Yinghui Pan, Yifeng Zeng, Biyang Ma, Prashant Doshi
2025	A	`conf`	Adaptive Human-Robot Collaboration using Type-Based IRL. UAI Prasanth Sengadu Suresh, Prashant Doshi, Bikramjit Banerjee
2025	A	`conf`	Analyzing Human Perceptions of a MEDEVAC Robot in a Simulated Evacuation Scenario. IROS Tyson Jordan, Pranav Pandey, Prashant Doshi, Ramviyas Parasuraman, Adam Goodie
2025	J	`jnl`	FRESHR-GSI: A Generalized Safety Model and Evaluation Framework for Mobile Robots in Multi-Human Environments. CoRR Pranav Pandey, Ramviyas Parasuraman, Prashant Doshi
2025	J	`jnl`	Inaugural MOASEI Competition at AAMAS'2025: A Technical Report. CoRR Ceferino Patino, Tyler J. Billings, Alireza Saleh Abadi, Daniel Redder, Adam Eck, Prashant Doshi, Leen-Kiat Soh
2025	A	`conf`	Inferring Hidden Behavioral Signatures of Cyber Adversaries Using Inverse Reinforcement Learning. ECAI Aditya Shinde, Prashant Doshi
2025	B	`conf`	Integrating Perceptions: A Human-Centered Physical Safety Model for Human-Robot Interaction. RO-MAN Pranav Pandey, Ramviyas Parasuraman, Prashant Doshi
2025	J	`jnl`	Integrating Perceptions: A Human-Centered Physical Safety Model for Human-Robot Interaction. CoRR Pranav Pandey, Ramviyas Parasuraman, Prashant Doshi
2025	J	`jnl`	Inversely Learning Transferable Rewards via Abstracted States. CoRR Yikang Gui, Prashant Doshi
2025	A	`conf`	MOHITO: Multi-Agent Reinforcement Learning using Hypergraphs for Task-Open Systems. UAI Gayathri Anil, Prashant Doshi, Daniel Redder, Adam Eck, Leen-Kiat Soh
2025	J	`jnl`	Modeling Behavioral Preferences of Cyber Adversaries Using Inverse Reinforcement Learning. CoRR Aditya Shinde, Prashant Doshi
2024	J	`jnl`	Active Legibility in Multiagent Reinforcement Learning. CoRR Yanyu Liu, Yinghui Pan, Yifeng Zeng, Biyang Ma, Prashant Doshi
2024	A*	`conf`	An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling. NeurIPS Shenbao Yu, Yinghui Pan, Yifeng Zeng, Prashant Doshi, Guoquan Liu, Kim-Leng Poh, Mingwei Lin
2024	J	`jnl`	Analyzing Human Perceptions of a MEDEVAC Robot in a Simulated Evacuation Scenario. CoRR Tyson Jordan, Pranav Pandey, Prashant Doshi, Ramviyas Parasuraman, Adam Goodie
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`	Modeling Cognitive Biases in Decision-theoretic Planning for Active Cyber Deception. AAMAS Aditya Shinde, Prashant Doshi
2024	J	`jnl`	Modeling and reinforcement learning in partially observable many-agent systems. Auton. Agents Multi Agent Syst. Keyang He, Prashant Doshi, Bikramjit Banerjee
2024	—	`conf`	Open Human-Robot Collaboration Systems (OHRCS): A Research Perspective. CogMI Prasanth Sengadu Suresh, Diego Romeres, Prashant Doshi, Siddarth Jain
2024	A	`conf`	Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning. IROS Prasanth Sengadu Suresh, Siddarth Jain, Prashant Doshi, Diego Romeres
2024	J	`jnl`	Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning. CoRR Prasanth Sengadu Suresh, Siddarth Jain, Prashant Doshi, Diego Romeres
2024	B	`conf`	Robust Individualistic Learning in Many-Agent Systems. PRIMA Keyang He, Prashant Doshi, Bikramjit Banerjee
2024	—	`conf`	Trust and Collaboration Testing in Controlled Human-Robot Environments. CogMI John Frericks, Brandon Kang, Neal Outland, Prashant Doshi, Kyle Johnsen, Aaron Schecter
2024	J	`jnl`	Visual IRL for Human-Like Robotic Manipulation. CoRR Ehsan Asali, Prashant Doshi
2023	J	`jnl`	A Novel Variational Lower Bound for Inverse Reinforcement Learning. CoRR Yikang Gui, Prashant Doshi
2023	A	`conf`	Dec-AIRL: Decentralized Adversarial IRL for Human-Robot Teaming. AAMAS Prasanth Sengadu Suresh, Yikang Gui, Prashant Doshi
2023	J	`jnl`	Decision making in open agent systems. AI Mag. Adam Eck, Leen-Kiat Soh, Prashant Doshi
2023	J	`jnl`	Latent Interactive A2C for Improved RL in Open Many-Agent Systems. CoRR Keyang He, Prashant Doshi, Bikramjit Banerjee
2023	J	`jnl`	MVSA-Net: Multi-View State-Action Recognition for Robust and Deployable Trajectory Generation. CoRR Ehsan Asali, Prashant Doshi, Jin Sun
2022	A	`conf`	A Hierarchical Bayesian Process for Inverse RL in Partially-Controlled Environments. AAMAS Kenneth D. Bogert, Prashant Doshi
2022	—	`conf`	Anytime Learning of Sum-Product and Sum-Product-Max Networks. PGM Swaraj Pawar, Prashant Doshi
2022	A	`conf`	Decision-theoretic planning with communication in open multiagent systems. UAI Anirudh Kakarlapudi, Gayathri Anil, Adam Eck, Prashant Doshi, Leen-Kiat Soh
2022	J	`jnl`	IRL with Partial Observations using the Principle of Uncertain Maximum Entropy. CoRR Kenneth D. Bogert, Yikang Gui, Prashant Doshi
2022	A	`conf`	Marginal MAP estimation for inverse RL under occlusion with observer noise. UAI Prasanth Sengadu Suresh, Prashant Doshi
2022	Misc	`conf`	Online Inverse Reinforcement Learning with Learned Observation Model. CoRL Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
2022	A	`conf`	Reinforcement learning in many-agent settings under partial observability. UAI Keyang He, Prashant Doshi, Bikramjit Banerjee
2022	J	`jnl`	SIPOMDPLite-Net: Lightweight, Self-Interested Learning and Planning in POSGs with Sparse Interactions. CoRR Gengyu Zhang, Prashant Doshi
2021	J	`jnl`	A Hierarchical Bayesian model for Inverse RL in Partially-Controlled Environments. CoRR Kenneth D. Bogert, Prashant Doshi
2021	A*	`conf`	A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots. AAAI Muhammed AbuOdeh, Christian Adkins, Omid Setayeshfar, Prashant Doshi, Kyu Hyung Lee
2021	J	`jnl`	A survey of inverse reinforcement learning: Challenges, methods and progress. Artif. Intell. Saurabh Arora, Prashant Doshi
2021	A	`conf`	Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards. AAMAS Keyang He, Bikramjit Banerjee, Prashant Doshi
2021	A	`conf`	Cyber Attack Intent Recognition and Active Deception using Factored Interactive POMDPs. AAMAS Aditya Shinde, Prashant Doshi, Omid Setayeshfar
2021	A*	`conf`	Data-Driven Decision-Theoretic Planning using Recurrent Sum-Product-Max Networks. ICAPS Hari Teja Tatavarti, Prashant Doshi, Layton Hayes
2021	J	`jnl`	GrAALF: Supporting graphical analysis of audit logs for forensics. Softw. Impacts Omid Setayeshfar, Christian Adkins, Matthew Jones, Kyu Hyung Lee, Prashant Doshi
2021	J	`jnl`	I2RL: online inverse reinforcement learning under occlusion. Auton. Agents Multi Agent Syst. Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
2021	J	`jnl`	Many Agent Reinforcement Learning Under Partial Observability. CoRR Keyang He, Prashant Doshi, Bikramjit Banerjee
2021	J	`jnl`	Marginal MAP Estimation for Inverse RL under Occlusion with Observer Noise. CoRR Prasanth Sengadu Suresh, Prashant Doshi
2021	A*	`conf`	Min-Max Entropy Inverse RL of Multiple Tasks. ICRA Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
2021	J	`jnl`	PALO bounds for reinforcement learning in partially observable stochastic games. Neurocomputing Roi Ceren, Keyang He, Prashant Doshi, Bikramjit Banerjee
2021	A*	`conf`	State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability. IJCAI Layton Hayes, Prashant Doshi, Swaraj Pawar, Hari Teja Tatavarti
2020	J	`jnl`	Active Deception using Factored Interactive POMDPs to Recognize Cyber Attacker's Intent. CoRR Aditya Shinde, Prashant Doshi, Omid Setayeshfar
2020	J	`jnl`	Cooperative-Competitive Reinforcement Learning with History-Dependent Rewards. CoRR Keyang He, Bikramjit Banerjee, Prashant Doshi
2020	J	`jnl`	Maximum Entropy Multi-Task Inverse RL. CoRR Saurabh Arora, Bikramjit Banerjee, Prashant Doshi
2020	J	`jnl`	Recurrent Sum-Product-Max Networks for Decision Making in Perfectly-Observed Environments. CoRR Hari Teja Tatavarti, Prashant Doshi, Layton Hayes
2020	J	`jnl`	Recursively modeling other agents for decision making: A research perspective. Artif. Intell. Prashant Doshi, Piotr J. Gmytrasiewicz, Edmund H. Durfee
2020	A*	`conf`	SA-Net: Robust State-Action Recognition for Learning from Observations. ICRA Nihal Soans, Ehsan Asali, Yi Hong, Prashant Doshi
2020	A*	`conf`	Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems. AAAI Adam Eck, Maulik Shah, Prashant Doshi, Leen-Kiat Soh
2019	A	`conf`	Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones. UAI Adithya Raam Sankar, Prashant Doshi, Adam Goodie
2019	J	`jnl`	GrAALF: Supporting Graphical Analysis of Audit Logs for Forensics. CoRR Omid Setayeshfar, Christian Adkins, Matthew Jones, Kyu Hyung Lee, Prashant Doshi
2019	J	`jnl`	Merging in Congested Freeway Traffic Using Multipolicy Decision Making and Passive Actor-Critic Learning. IEEE Trans. Intell. Veh. Tomoki Nishi, Prashant Doshi, Danil V. Prokhorov
2019	A*	`conf`	Model-Free IRL Using Maximum Likelihood Estimation. AAAI Vinamra Jain, Prashant Doshi, Bikramjit Banerjee
2019	A	`conf`	Online Inverse Reinforcement Learning Under Occlusion. AAMAS Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
2019	J	`jnl`	SA-Net: Deep Neural Network for Robot Trajectory Recognition from RGB-D Streams. CoRR Nihal Soans, Yi Hong, Prashant Doshi
2019	J	`jnl`	Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems. CoRR Adam Eck, Maulik Shah, Prashant Doshi, Leen-Kiat Soh
2018	J	`jnl`	A Framework and Method for Online Inverse Reinforcement Learning. CoRR Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
2018	J	`jnl`	A Survey of Inverse Reinforcement Learning: Challenges, Methods and Progress. CoRR Saurabh Arora, Prashant Doshi
2018	A	`conf`	Inverse Learning of Robot Behavior for Collaborative Planning. IROS Maulesh Trivedi, Prashant Doshi
2018	J	`jnl`	Multi-robot inverse reinforcement learning under occlusion with estimation of state transitions. Artif. Intell. Kenneth D. Bogert, Prashant Doshi
2018	A*	`conf`	Online Structure Learning for Feed-Forward and Recurrent Sum-Product Networks. NeurIPS Agastya Kalra, Abdullah Rashwan, Wei-Shou Hsu, Pascal Poupart, Prashant Doshi, Georgios Trimponias
2018	J	`jnl`	Reinforcement Learning for Heterogeneous Teams with PALO Bounds. CoRR Roi Ceren, Prashant Doshi, Keyang He
2017	A*	`conf`	A layered HMM for predicting motion of a leader in multi-robot settings. ICRA Sina Solaimanpour, Prashant Doshi
2017	J	`jnl`	Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics. CoRR Tomoki Nishi, Prashant Doshi, Michael R. James, Danil V. Prokhorov
2017	J	`jnl`	Can bounded and self-interested agents be teammates? Application to planning in ad hoc teams. Auton. Agents Multi Agent Syst. Muthukumaran Chandrasekaran, Prashant Doshi, Yifeng Zeng, Yingke Chen
2017	J	`jnl`	Decision-Theoretic Planning Under Anonymity in Agent Populations. J. Artif. Intell. Res. Ekhlas Sonu, Yingke Chen, Prashant Doshi
2017	J	`jnl`	Freeway Merging in Congested Traffic based on Multipolicy Decision Making with Passive Actor Critic. CoRR Tomoki Nishi, Prashant Doshi, Danil V. Prokhorov
2017	A	`conf`	Inverse Reinforcement Learning Under Noisy Observations. AAMAS Shervin Shahryari, Prashant Doshi
2017	J	`jnl`	Inverse Reinforcement Learning Under Noisy Observations. CoRR Shervin Shahryari, Prashant Doshi
2017	A*	`conf`	On Markov Games Played by Bayesian and Boundedly-Rational Players. AAAI Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi
2017	J	`jnl`	On the role of fairness and limited backward induction in sequential bargaining games - New behavioral models and analyses. Ann. Math. Artif. Intell. Xia Qu, Prashant Doshi
2017	A	`conf`	Robust Model Equivalence using Stochastic Bisimulation for N-Agent Interactive DIDs. UAI Muthukumaran Chandrasekaran, Junhuan Zhang, Prashant Doshi, Yifeng Zeng
2017	A	`conf`	Scaling Expectation-Maximization for Inverse Reinforcement Learning to Multiple Robots under Occlusion. AAMAS Kenneth D. Bogert, Prashant Doshi
2016	J	`jnl`	Approximating behavioral equivalence for scaling solutions of I-DIDs. Knowl. Inf. Syst. Yifeng Zeng, Prashant Doshi, Yingke Chen, Yinghui Pan, Hua Mao, Muthukumaran Chandrasekaran
2016	A*	`conf`	Bayesian Markov Games with Explicit Finite-Level Types. AAAI Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi
2016	—	`conf`	Bayesian Markov Games with Explicit Finite-Level Types. AAAI Workshop: Multiagent Interaction without Prior Coordination Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi
2016	A*	`conf`	Decision Sum-Product-Max Networks. AAAI Mazen Melibari, Pascal Poupart, Prashant Doshi
2016	—	`conf`	Dynamic Sum Product Networks for Tractable Inference on Sequence Data. Probabilistic Graphical Models Mazen Melibari, Pascal Poupart, Prashant Doshi, George Trimponias
2016	A	`conf`	Expectation-Maximization for Inverse Reinforcement Learning with Hidden Data. AAMAS Kenneth D. Bogert, Jonathan Feng-Shun Lin, Prashant Doshi, Dana Kulic
2016	A	`conf`	Individual Planning in Open and Typed Agent Systems. UAI Muthukumaran Chandrasekaran, Adam Eck, Prashant Doshi, Leenkiat Soh
2016	A	`conf`	Reinforcement Learning in Partially Observable Multiagent Settings: Monte Carlo Exploring Policies with PAC Bounds. AAMAS Roi Ceren, Prashant Doshi, Bikramjit Banerjee
2016	A*	`conf`	Sum-Product-Max Networks for Tractable Decision Making. IJCAI Mazen Melibari, Pascal Poupart, Prashant Doshi
2016	A	`conf`	Sum-Product-Max Networks for Tractable Decision Making: (Extended Abstract). AAMAS Mazen A. Melibari, Pascal Poupart, Prashant Doshi
2015	J	`jnl`	A framework for ontology-based question answering with application to parasite immunology. J. Biomed. Semant. Amir H. Asiaee, Todd Minning, Prashant Doshi, Rick L. Tarleton
2015	A	`conf`	Aerial Robotic Simulations for Evaluation of Multi-Agent Planning in GaTAC. AAMAS Kenneth D. Bogert, Sina Solaimanpour, Prashant Doshi
2015	J	`jnl`	Dynamic Sum Product Networks for Tractable Inference on Sequence Data. CoRR Mazen Melibari, Pascal Poupart, Prashant Doshi
2015	—	`conf`	Fast Solving of Influence Diagrams for Multiagent Planning on GPU-enabled Architectures. ICAART (2) Fadel Adoe, Yingke Chen, Prashant Doshi
2015	A	`conf`	Improved Planning for Infinite-Horizon Interactive POMDPs using Probabilistic Inference (Extended Abstract). AAMAS Xia Qu, Prashant Doshi
2015	A*	`conf`	Individual Planning in Agent Populations: Exploiting Anonymity and Frame-Action Hypergraphs. ICAPS Ekhlas Sonu, Yingke Chen, Prashant Doshi
2015	J	`jnl`	Individual Planning in Agent Populations: Exploiting Anonymity and Frame-Action Hypergraphs. CoRR Ekhlas Sonu, Yingke Chen, Prashant Doshi
2015	—	`conf`	Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability. NIPS Xia Qu, Prashant Doshi
2015	A	`conf`	Iterative Online Planning in Multiagent Settings with Limited Model Spaces and PAC Guarantees. AAMAS Yingke Chen, Prashant Doshi, Yifeng Zeng
2015	A	`conf`	Localization and tracking under extreme and persistent sensory occlusion. IROS Kedar Marathe, Prashant Doshi
2015	A	`conf`	Multi-Robot Inverse Reinforcement Learning Under Occlusion with State Transition Estimation. AAMAS Kenneth D. Bogert, Prashant Doshi
2015	J	`jnl`	Robotics to promote elementary education pre-service teachers' STEM engagement, learning, and teaching. Comput. Educ. Chanmin Kim, Dongho Kim, Jiangmei Yuan, Roger B. Hill, Prashant Doshi, Chi N. Thai
2015	J	`jnl`	Scalable solutions of interactive POMDPs using generalized and bounded policy iteration. Auton. Agents Multi Agent Syst. Ekhlas Sonu, Prashant Doshi
2015	—	`conf`	Speeding up Planning in Multiagent Settings Using CPU-GPU Architectures. ICAART (Revised Selected Papers) Fadel Adoe, Yingke Chen, Prashant Doshi
2015	A*	`conf`	Toward Estimating Others' Transition Models Under Occlusion for Multi-Robot IRL. IJCAI Kenneth D. Bogert, Prashant Doshi
2014	B	`conf`	A Portal Designed to Learn about Educational Robotics. CogSci Chanmin Kim, Prashant Doshi, Chi N. Thai, Dongho Kim, Jiangmei Yuan
2014	Misc	`conf`	Behavioral Modeling of Sequential Bargaining Games: Fairness and Limited Backward Induction. ISAIM Xia Qu, Prashant Doshi
2014	J	`jnl`	Exploiting Model Equivalences for Solving Interactive Dynamic Influence Diagrams. CoRR Yifeng Zeng, Prashant Doshi
2014	J	`jnl`	Monte Carlo Sampling Methods for Approximating Interactive POMDPs. CoRR Prashant Doshi, Piotr J. Gmytrasiewicz
2014	A	`conf`	Multi-robot inverse reinforcement learning under occlusion with interactions. AAMAS Kenneth D. Bogert, Prashant Doshi
2014	J	`jnl`	Speeding Up Iterative Ontology Alignment using Block-Coordinate Descent. J. Artif. Intell. Res. Uthayasanker Thayasivam, Prashant Doshi
2014	J	`jnl`	Team Behavior in Interactive Dynamic Influence Diagrams with Applications to Ad Hoc Teams. CoRR Muthukumaran Chandrasekaran, Prashant Doshi, Yifeng Zeng, Yingke Chen
2014	A	`conf`	Team behavior in interactive dynamic influence diagrams with applications to ad hoc teams. AAMAS Muthukumaran Chandrasekaran, Prashant Doshi, Yifeng Zeng, Yingke Chen
2013	A*	`conf`	Bimodal Switching for Online Planning in Multiagent Settings. IJCAI Ekhlas Sonu, Prashant Doshi
2013	—	`conf`	Canonical Forms and Similarity of Complex Concepts for Improved Ontology Alignment. Web Intelligence Tejas Chaudhari, Uthayasanker Thayasivam, Prashant Doshi
2013	—	`conf`	From Questions to Effective Answers: On the Utility of Knowledge-Driven Querying Systems for Life Sciences Data. DILS Amir H. Asiaee, Prashant Doshi, Todd Minning, Satya Sanket Sahoo, Priti Parikh, Amit P. Sheth, Rick L. Tarleton
2013	B	`conf`	On Modeling Human Learning in Sequential Games with Delayed Reinforcements. SMC Roi Ceren, Prashant Doshi, Matthew Meisel, Adam Goodie, Dan Hall
2013	—	`conf`	Speeding Up Batch Alignment of Large Ontologies Using MapReduce. ICSC Uthayasanker Thayasivam, Prashant Doshi
2012	J	`jnl`	Decision Making in Complex Multiagent Contexts: A Tale of Two Frameworks. AI Mag. Prashant Doshi
2012	J	`jnl`	Exploiting Model Equivalences for Solving Interactive Dynamic Influence Diagrams. J. Artif. Intell. Res. Yifeng Zeng, Prashant Doshi
2012	J	`jnl`	From Questions to Effective Answers: On the Utility of Knowledge-Driven Querying Systems for Life Sciences Data CoRR Amir H. Asiaee, Prashant Doshi, Todd Minning, Satya Sanket Sahoo, Priti Parikh, Amit P. Sheth, Rick L. Tarleton
2012	A	`conf`	GaTAC: a scalable and realistic testbed for multiagent decision making (demonstration). AAMAS Ekhlas Sonu, Prashant Doshi
2012	Misc	`conf`	Generalized and Bounded Policy Iteration for Interactive POMDPs. ISAIM Ekhlas Sonu, Prashant Doshi
2012	A	`conf`	Generalized and bounded policy iteration for finitely-nested interactive POMDPs: scaling up. AAMAS Ekhlas Sonu, Prashant Doshi
2012	A*	`conf`	Improved Convergence of Iterative Ontology Alignment using Block-Coordinate Descent. AAAI Uthayasanker Thayasivam, Prashant Doshi
2012	—	`conf`	Learning Communication in Interactive Dynamic Influence Diagrams. IAT Yifeng Zeng, Hua Mao, Prashant Doshi, Yinghui Pan, Jian Luo
2012	Misc	`conf`	Modeling Deep Strategic Reasoning by Humans in Competitive Games. ISAIM Xia Qu, Prashant Doshi, Adam Goodie
2012	J	`jnl`	Modeling Human Recursive Reasoning Using Empirically Informed Interactive Partially Observable Markov Decision Processes. IEEE Trans. Syst. Man Cybern. Part A Prashant Doshi, Xia Qu, Adam Goodie, Diana L. Young
2012	A	`conf`	Modeling deep strategic reasoning by humans in competitive games. AAMAS Xia Qu, Prashant Doshi, Adam Goodie
2012	—	`conf`	Optima+ results for OAEI 2012. OM Uthayasanker Thayasivam, Tejas Chaudhari, Prashant Doshi
2012	J	`jnl`	Reports of the AAAI 2011 Conference Workshops. AI Mag. Noa Agmon, Vikas Agrawal, David W. Aha, Yiannis Aloimonos, Donagh Buckley, Prashant Doshi, Christopher W. Geib, Floriana Grasso, Nancy L. Green, Benjamin Johnston, Burt Kaliski, Christopher Kiekintveld, Edith Law, Henry Lieberman, Ole J. Mengshoel, Ted Metzler, Joseph Modayil, Douglas W. Oard, Nilufer Onder, Barry O'Sullivan, Katerina Pastra, Doina Precup, Sowmya Ramachandran, Chris Reed, Sanem Sariel Talay, Ted Selker, Lokendra Shastri, Stephen F. Smith, Satinder Singh, Siddharth Srivastava, Gita Sukthankar, David C. Uthus, Mary-Anne Williams
2011	J	`jnl`	A Framework for Sequential Planning in Multi-Agent Settings CoRR Prashant Doshi, Piotr J. Gmytrasiewicz
2011	—	`conf`	Approximating Model Equivalence in Interactive Dynamic Influence Diagrams Using Top K Policy Paths. IAT Yifeng Zeng, Yingke Chen, Prashant Doshi
2011	A	`conf`	Approximating behavioral equivalence of models using top-k policy paths. AAMAS Yifeng Zeng, Yingke Chen, Prashant Doshi
2011	A	`conf`	Identifying and exploiting weak-information inducing actions in solving POMDPs. AAMAS Ekhlas Sonu, Prashant Doshi
2011	—	`conf`	Individual Localization and Tracking in Multi-robot Settings with Dynamic Landmarks - (Extended Abstract). AAMAS Workshops Anousha Mesbah, Prashant Doshi
2011	—	`conf`	On the Utility of WordNet for Ontology Alignment: Is it Really Worth it? ICSC Uthayasanker Thayasivam, Prashant Doshi
2011	—	`conf`	Optima results for OAEI 2011. OM Uthayasanker Thayasivam, Prashant Doshi
2011	A*	`conf`	Utilizing Partial Policies for Identifying Equivalence of Behavioral Models. AAAI Yifeng Zeng, Prashant Doshi, Yinghui Pan, Hua Mao, Muthukumaran Chandrasekaran, Jian Luo
2010	Misc	`conf`	Approximate solutions of interactive dynamic influence diagrams using ε-behavioral equivalence. ISAIM Muthukumaran Chandrasekaran, Prashant Doshi, Yifeng Zeng
2010	—	`conf`	Epsilon-Subjective Equivalence of Models for Interactive Dynamic Influence Diagrams. IAT Prashant Doshi, Muthukumaran Chandrasekaran, Yifeng Zeng
2010	J	`jnl`	Model identification in interactive influence diagrams using mutual information. Web Intell. Agent Syst. Yifeng Zeng, Prashant Doshi
2010	A	`conf`	Modeling recursive reasoning by humans using empirically informed interactive POMDPs. AAMAS Prashant Doshi, Xia Qu, Adam Goodie, Diana L. Young
2010	J	`jnl`	Reports of the AAAI 2010 Conference Workshops. AI Mag. David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell Jr., Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory M. Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan
2010	A	`conf`	Risk Sensitive Value of Changed Information for Selective Querying of Web Services. ICSOC John Harney, Prashant Doshi
2009	J	`jnl`	A hierarchical framework for logical composition of web services. Serv. Oriented Comput. Appl. Haibo Zhao, Prashant Doshi
2009	—	`conf`	Compact approximations of mixture distributions for state estimation in multiagent settings. AAMAS (2) Prashant Doshi
2009	J	`jnl`	Graphical models for interactive POMDPs: representations and solutions. Auton. Agents Multi Agent Syst. Prashant Doshi, Yifeng Zeng, Qiongyu Chen
2009	—	`conf`	Improved approximation of interactive dynamic influence diagrams using discriminative model updates. AAMAS (2) Prashant Doshi, Yifeng Zeng
2009	J	`jnl`	Inexact matching of ontology graphs using expectation-maximization. J. Web Semant. Prashant Doshi, Ravikanth Kolli, Christopher Thomas
2009	A	`conf`	Integrating Behavioral Trust in Web Service Compositions. ICWS Sharon Paradesi, Prashant Doshi, Sonu Swaika
2009	J	`jnl`	Monte Carlo Sampling Methods for Approximating Interactive POMDPs. J. Artif. Intell. Res. Prashant Doshi, Piotr J. Gmytrasiewicz
2009	A	`conf`	Selective Querying for Adapting Hierarchical Web Service Compositions Using Aggregate Volatility. ICWS John Harney, Prashant Doshi
2009	A*	`conf`	Speeding Up Exact Solutions of Interactive Dynamic Influence Diagrams Using Action Equivalence. IJCAI Yifeng Zeng, Prashant Doshi
2009	—	`conf`	Toward Integrating Social Trust into Web Service Compositions. AAAI Spring Symposium: Social Semantic Web: Where Web 2.0 Meets Web 3.0 Sharon Paradesi, Prashant Doshi
2009	A	`conf`	Towards Automated RESTful Web Service Composition. ICWS Haibo Zhao, Prashant Doshi
2008	—	`conf`	An Information-Theoretic Approach to Model Identification in Interactive Influence Diagrams. IAT Yifeng Zeng, Prashant Doshi
2008	Misc	`conf`	Approximate Solutions of Interactive POMDPs Using Point Based Value Iteration. ISAIM Dennis Perez, Prashant Doshi
2008	—	`conf`	Distributed Private Constraint Optimization. IAT Prashant Doshi, Toshihiro Matsui, Marius Silaghi, Makoto Yokoo, Markus Zanker
2008	Misc	`conf`	Enhancing the Quality of Noisy Training Data Using a Genetic Algorithm and Prototype Selection. IC-AI Boseon Byeon, Khaled Rasheed, Prashant Doshi
2008	A*	`conf`	Generalized Point Based Value Iteration for Interactive POMDPs. AAAI Prashant Doshi, Dennis Perez
2008	—	`conf`	Making BPEL Flexible - Adapting in the Context of Coordination Constraints Using WS-BPEL. IEEE SCC (1) Yunzhou Wu, Prashant Doshi
2008	A*	`conf`	Making BPEL flexible: adapting in the context of coordination constraints using WS-BPEL. WWW Yunzhou Wu, Prashant Doshi
2008	—	`conf`	OPTIMA: Tool for Ontology Alignment with Application to Semantic Reconciliation of Sensor Metadata for Publication in SensorMap. ICSC Ravikanth Kolli, Prashant Doshi
2008	J	`jnl`	Selective Querying for Adapting Web Service Compositions Using the Value of Changed Information. IEEE Trans. Serv. Comput. John Harney, Prashant Doshi
2008	—	`conf`	Speeding up web service composition with volatile external information. CSSSIA John Harney, Prashant Doshi
2008	A*	`conf`	Speeding up web service composition with volatile information. WWW John Harney, Prashant Doshi
2007	A*	`conf`	Approximate Solutions of Interactive Dynamic Influence Diagrams Using Model Clustering. AAAI Yifeng Zeng, Prashant Doshi, Qiongyu Chen
2007	A	`conf`	Approximate state estimation in multiagent settings with continuous or large discrete state spaces. AAMAS Prashant Doshi
2007	—	`conf`	Graphical Models for Online Solutions to Interactive POMDPs. AAAI Spring Symposium: Game Theoretic and Decision Theoretic Agents Prashant Doshi, Yifeng Zeng, Qiongyu Chen
2007	A	`conf`	Graphical models for online solutions to interactive POMDPs. AAMAS Prashant Doshi, Yifeng Zeng, Qiongyu Chen
2007	A	`conf`	Haley: A Hierarchical Framework for Logical Composition ofWeb Services. ICWS Haibo Zhao, Prashant Doshi
2007	A	`conf`	Improved Adaptation of Web Service Compositions Using Value of Changed Information. ICWS Girish Chafle, Prashant Doshi, John Harney, Sumit Mittal, Biplav Srivastava
2007	A*	`conf`	Improved State Estimation in Multiagent Settings with Continuous or Large Discrete State Spaces. AAAI Prashant Doshi
2007	—	`conf`	On the Role of Interactive Epistemology in Multiagent Planning. Artificial Intelligence and Pattern Recognition Prashant Doshi
2007	—	`conf`	Regret-Based Decentralized Adaptation ofWeb Processes with Coordination Constraints. IEEE SCC Yunzhou Wu, Prashant Doshi
2007	A*	`conf`	Speeding up adaptation of web service compositions using expiration times. WWW John Harney, Prashant Doshi
2006	A	`conf`	A Hierarchical Framework for Composing Nested Web Processes. ICSOC Haibo Zhao, Prashant Doshi
2006	A	`conf`	Adaptive Web Processes Using Value of Changed Information. ICSOC John Harney, Prashant Doshi
2006	A	`conf`	Exact solutions of interactive POMDPs using behavioral equivalence. AAMAS Bharaneedharan Rathnasabapathy, Prashant Doshi, Piotr J. Gmytrasiewicz
2006	A*	`conf`	Inexact Matching of Ontology Graphs Using Expectation-Maximization. AAAI Prashant Doshi, Christopher Thomas
2006	A*	`conf`	On the Difficulty of Achieving Equilibrium in Interactive POMDPs. AAAI Prashant Doshi, Piotr J. Gmytrasiewicz
2006	—	`conf`	On the Difficulty of Achieving Equilibrium in Interactive POMDPs. AI&M Prashant Doshi, Piotr J. Gmytrasiewicz
2006	A	`conf`	Optimal Adaptation in Web Processes with Coordination Constraints. ICWS Kunal Verma, Prashant Doshi, Karthik Gomadam, John A. Miller, Amit P. Sheth
2006	J	`jnl`	Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program. AI Mag. Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Douglas E. Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve J. Young, Dmitry Zelenko
2005	J	`jnl`	A Framework for Sequential Planning in Multi-Agent Settings. J. Artif. Intell. Res. Piotr J. Gmytrasiewicz, Prashant Doshi
2005	A*	`conf`	A Particle Filtering Based Approach to Approximating Interactive POMDPs. AAAI Prashant Doshi, Piotr J. Gmytrasiewicz
2005	A	`conf`	Approximating state estimation in multiagent settings using particle filters. AAMAS Prashant Doshi, Piotr J. Gmytrasiewicz
2005	J	`jnl`	Dynamic Workflow Composition: Using Markov Decision Processes. Int. J. Web Serv. Res. Prashant Doshi, Richard Goodwin, Rama Akkiraju, Kunal Verma
2004	A*	`conf`	A Framework for Optimal Sequential Planning in Multiagent Settings. AAAI Prashant Doshi
2004	—	`conf`	A Framework for Sequential Planning in Multi-Agent Settings. AI&M Piotr J. Gmytrasiewicz, Prashant Doshi
2004	A	`conf`	Dynamic Workflow Composition using Markov Decision Processes. ICWS Prashant Doshi, Richard Goodwin, Rama Akkiraju, Kunal Verma
2004	A	`conf`	Interactive POMDPs: Properties and Preliminary Results. AAMAS Piotr J. Gmytrasiewicz, Prashant Doshi
2003	—	`conf`	A Method for Semantically Enhancing the Service Discovery Capabilities of UDDI. IIWeb Rama Akkiraju, Richard Goodwin, Prashant Doshi, Sascha Roeder
2003	Misc	`conf`	Using Bayesian Networks for Cleansing Trauma Data. FLAIRS Prashant Doshi, Lloyd G. Greenwald, John R. Clarke