Pradeep Varakantham

216 papers A* 66A 52B 2C 1Misc 1Journal 70Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Unsupervised Environment Design through Hierarchical Policy Representation Learning. CoRR Dexun Li, Sidney Tio, Pradeep Varakantham
2026	A*	`conf`	Optimizing Ride-Pooling Operations with Extended Pickup and Drop-Off Flexibility. AAAI Hao Jiang, Yixin Xu, Pradeep Varakantham
2025	J	`jnl`	Automatic LLM Red Teaming. CoRR Roman Belaire, Arunesh Sinha, Pradeep Varakantham
2025	A*	`conf`	Bootstrapping Language Models with DPO Implicit Rewards. ICLR Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin
2025	A	`conf`	EduQate: Generating Adaptive Curricula through RMABs in Education Settings. AAMAS Sidney Tio, Dexun Li, Pradeep Varakantham
2025	J	`jnl`	FairVizARD: A Visualization System for Assessing Multi-Party Fairness of Ride-Sharing Matching Algorithms. CoRR Ashwin Kumar, Sanket Shah, Meghna Lowalekar, Pradeep Varakantham, Alvitta Ottley, William Yeoh
2025	J	`jnl`	Improving Environment Novelty Quantification for Effective Unsupervised Environment Design. CoRR Jayden Teoh, Wenjun Li, Pradeep Varakantham
2025	J	`jnl`	Learning What to Do and What Not To Do: Offline Imitation from Expert and Undesirable Demonstrations. CoRR Huy Hoang, Tien Mai, Pradeep Varakantham, Tanvi Verma
2025	A*	`conf`	Marginal Benefit Driven RL Teacher for Unsupervised Environment Design. AAAI Dexun Li, Wenjun Li, Pradeep Varakantham
2025	J	`jnl`	Offline Safe Policy Optimization From Heterogeneous Feedback. CoRR Ze Gong, Pradeep Varakantham, Akshat Kumar
2025	A*	`conf`	Offline Safe Reinforcement Learning Using Trajectory Classification. AAAI Ze Gong, Akshat Kumar, Pradeep Varakantham
2025	J	`jnl`	On Discovering Algorithms for Adversarial Imitation Learning. CoRR Shashank Reddy Chirra, Jayden Teoh, Praveen Paruchuri, Pradeep Varakantham
2025	A*	`conf`	On Generalization Across Environments In Multi-Objective Reinforcement Learning. ICLR Jayden Teoh, Pradeep Varakantham, Peter Vamplew
2025	J	`jnl`	On Generalization Across Environments In Multi-Objective Reinforcement Learning. CoRR Jayden Teoh, Pradeep Varakantham, Peter Vamplew
2025	A	`conf`	On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression. AAMAS Zichang Ge, Changyu Chen, Arunesh Sinha, Pradeep Varakantham
2025	J	`jnl`	On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression. CoRR Zichang Ge, Changyu Chen, Arunesh Sinha, Pradeep Varakantham
2025	A*	`conf`	On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning. ICLR Roman Belaire, Arunesh Sinha, Pradeep Varakantham
2025	J	`jnl`	Optimizing Ride-Pooling Operations with Extended Pickup and Drop-Off Flexibility. CoRR Hao Jiang, Yixing Xu, Pradeep Varakantham
2025	A*	`conf`	Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs. ICLR Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham
2025	—	`conf`	Unlocking the Planning Capabilities of Large Language Models with Maximum Diversity Fine-tuning. NAACL (Findings) Wenjun Li, Changyu Chen, Pradeep Varakantham
2024	J	`jnl`	Bootstrapping Language Models with DPO Implicit Rewards. CoRR Changyu Chen, Zichen Liu, Chao Du, Tianyu Pang, Qian Liu, Arunesh Sinha, Pradeep Varakantham, Min Lin
2024	J	`jnl`	EduQate: Generating Adaptive Curricula through RMABs in Education Settings. CoRR Sidney Tio, Dexun Li, Pradeep Varakantham
2024	A*	`conf`	Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning. AAAI Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham
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`	Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning. AAAI Huy Hoang, Tien Mai, Pradeep Varakantham
2024	A*	`conf`	Imitating Cost-Constrained Behaviors in Reinforcement Learning. ICAPS Qian Shao, Pradeep Varakantham, Shih-Fen Cheng
2024	J	`jnl`	Imitating Cost-Constrained Behaviors in Reinforcement Learning. CoRR Qian Shao, Pradeep Varakantham, Shih-Fen Cheng
2024	A*	`conf`	Improving Environment Novelty Quantification for Effective Unsupervised Environment Design. NeurIPS Jayden Teoh, Wenjun Li, Pradeep Varakantham
2024	J	`jnl`	Offline Safe Reinforcement Learning Using Trajectory Classification. CoRR Ze Gong, Akshat Kumar, Pradeep Varakantham
2024	A	`conf`	Preserving the Privacy of Reward Functions in MDPs through Deception. ECAI Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri
2024	J	`jnl`	Preserving the Privacy of Reward Functions in MDPs through Deception. CoRR Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri
2024	J	`jnl`	Probabilistic Perspectives on Error Minimization in Adversarial Reinforcement Learning. CoRR Roman Belaire, Arunesh Sinha, Pradeep Varakantham
2024	A	`conf`	Regret-based Defense in Adversarial Reinforcement Learning. AAMAS Roman Belaire, Pradeep Varakantham, Thanh Hong Nguyen, David Lo
2024	A*	`conf`	Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively. AAAI Hao Jiang, Tien Mai, Pradeep Varakantham, Huy Hoang
2024	A*	`conf`	SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning. NeurIPS Huy Hoang, Tien Mai, Pradeep Varakantham
2024	A*	`conf`	Safety through feedback in Constrained RL. NeurIPS Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri
2024	J	`jnl`	Safety through feedback in Constrained RL. CoRR Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri
2024	J	`jnl`	Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs. CoRR Yuxiao Lu, Arunesh Sinha, Pradeep Varakantham
2024	J	`jnl`	SubIQ: Inverse Soft-Q Learning for Offline Imitation with Suboptimal Demonstrations. CoRR Huy Hoang, Tien Mai, Pradeep Varakantham
2024	J	`jnl`	Towards Neural Network based Cognitive Models of Dynamic Decision-Making by Humans. CoRR Changyu Chen, Shashank Reddy Chirra, Maria José Ferreira, Cleotilde Gonzalez, Arunesh Sinha, Pradeep Varakantham
2024	J	`jnl`	UNIQ: Offline Inverse Q-learning for Avoiding Undesirable Demonstrations. CoRR Huy Hoang, Tien Mai, Pradeep Varakantham
2024	A	`conf`	Unifying Regret and State-Action Space Coverage for Effective Unsupervised Environment Design. AAMAS Jayden Teoh Jing Teoh, Wenjun Li, Pradeep Varakantham
2024	J	`jnl`	Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuning. CoRR Wenjun Li, Changyu Chen, Pradeep Varakantham
2024	A*	`conf`	Unsupervised Training Sequence Design: Efficient and Generalizable Agent Training. AAAI Wenjun Li, Pradeep Varakantham
2023	J	`jnl`	A Hierarchical Approach to Environment Design with Generative Trajectory Modeling. CoRR Dexun Li, Pradeep Varakantham
2023	A	`conf`	Avoiding Starvation of Arms in Restless Multi-Armed Bandits. AAMAS Dexun Li, Pradeep Varakantham
2023	J	`jnl`	Conditioning Hierarchical Reinforcement Learning on Flexible Constraints. CoRR Yuxiao Lu, Pradeep Varakantham, Arunesh Sinha
2023	A*	`conf`	Constrained Reinforcement Learning in Hard Exploration Problems. AAAI Pathmanathan Pankayaraj, Pradeep Varakantham
2023	J	`jnl`	Diversity Induced Environment Design via Self-Play. CoRR Dexun Li, Wenjun Li, Pradeep Varakantham
2023	J	`jnl`	Effective Diversity in Unsupervised Environment Design. CoRR Wenjun Li, Pradeep Varakantham, Dexun Li
2023	A*	`conf`	Future Aware Pricing and Matching for Sustainable On-Demand Ride Pooling. AAAI Xianjie Zhang, Pradeep Varakantham, Hao Jiang
2023	J	`jnl`	Future Aware Pricing and Matching for Sustainable On-demand Ride Pooling. CoRR Xianjie Zhang, Pradeep Varakantham, Hao Jiang
2023	A*	`conf`	Generalization through Diversity: Improving Unsupervised Environment Design. IJCAI Wenjun Li, Pradeep Varakantham, Dexun Li
2023	A*	`conf`	Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning. NeurIPS Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham
2023	J	`jnl`	Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning. CoRR Changyu Chen, Ramesha Karunasena, Thanh Hong Nguyen, Arunesh Sinha, Pradeep Varakantham
2023	J	`jnl`	Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning. CoRR Huy Hoang, Tien Mai, Pradeep Varakantham
2023	A	`conf`	Knowledge Compilation for Constrained Combinatorial Action Spaces in Reinforcement Learning. AAMAS Jiajing Ling, Moritz Lukas Schuler, Akshat Kumar, Pradeep Varakantham
2023	A	`conf`	On Sustainable Ride Pooling Through Conditional Expected Value Decomposition. ECAI Avinandan Bose, Hao Jiang, Pradeep Varakantham, Zichang Ge
2023	J	`jnl`	Regret-Based Optimization for Robust Reinforcement Learning. CoRR Roman Belaire, Pradeep Varakantham, David Lo
2023	J	`jnl`	Solving Constrained Reinforcement Learning through Augmented State and Reward Penalties. CoRR Hao Jiang, Tien Mai, Pradeep Varakantham
2023	A	`conf`	Strategic Planning for Flexible Agent Availability in Large Taxi Fleets. AAMAS Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng
2023	J	`jnl`	Strategic Planning for Flexible Agent Availability in Large Taxi Fleets. CoRR Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng
2023	J	`jnl`	Training Reinforcement Learning Agents and Humans With Difficulty-Conditioned Generators. CoRR Sidney Tio, Jimmy Ho, Pradeep Varakantham
2023	A*	`conf`	Transferable Curricula through Difficulty Conditioned Generators. IJCAI Sidney Tio, Pradeep Varakantham
2023	J	`jnl`	Transferable Curricula through Difficulty Conditioned Generators. CoRR Sidney Tio, Pradeep Varakantham
2022	J	`jnl`	Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits. CoRR Dexun Li, Pradeep Varakantham
2022	A	`conf`	Efficient resource allocation with fairness constraints in restless multi-armed bandits. UAI Dexun Li, Pradeep Varakantham
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	A	`conf`	Hierarchical Value Decomposition for Effective On-demand Ride-Pooling. AAMAS Jiang Hao, Pradeep Varakantham
2022	A*	`conf`	Joint Pricing and Matching for City-Scale Ride-Pooling. ICAPS Sanket Shah, Meghna Lowalekar, Pradeep Varakantham
2022	J	`jnl`	Learning Individual Policies in Large Multi-agent Systems through Local Variance Minimization. CoRR Tanvi Verma, Pradeep Varakantham
2022	A*	`conf`	Preface. ICAPS Sylvie Thiébaux, William Yeoh, Akshat Kumar, Pradeep Varakantham
2022	A*	`ed.`	Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, ICAPS 2022, Singapore (virtual), June 13-24, 2022 ICAPS Akshat Kumar, Sylvie Thiébaux, Pradeep Varakantham, William Yeoh
2022	J	`jnl`	Towards Soft Fairness in Restless Multi-Armed Bandits. CoRR Dexun Li, Pradeep Varakantham
2021	A	`conf`	Adaptive Operating Hours for Improved Performance of Taxi Fleets. AAMAS Rajiv Ranjan Kumar, Pradeep Varakantham, Shih-Fen Cheng
2021	J	`jnl`	CLAIM: Curriculum Learning Policy for Influence Maximization in Unknown Social Networks. CoRR Dexun Li, Meghna Lowalekar, Pradeep Varakantham
2021	A	`conf`	CLAIM: curriculum learning policy for influence maximization in unknown social networks. UAI Dexun Li, Meghna Lowalekar, Pradeep Varakantham
2021	J	`jnl`	Conditional Expectation based Value Decomposition for Scalable On-Demand Ride Pooling. CoRR Avinandan Bose, Pradeep Varakantham
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	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	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	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`	Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. J. Artif. Intell. Res. Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2020	A	`conf`	Competitive Ratios for Online Multi-capacity Ridesharing. AAMAS Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2020	J	`jnl`	Competitive Ratios for Online Multi-capacity Ridesharing. CoRR Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2020	A*	`conf`	Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. AAAI Sanket Shah, Meghna Lowalekar, Pradeep Varakantham
2020	J	`jnl`	On Solving Cooperative MARL Problems with a Few Good Experiences. CoRR Rajiv Ranjan Kumar, Pradeep Varakantham
2020	A*	`conf`	Online Traffic Signal Control through Sample-Based Constrained Optimization. ICAPS Srishti Dhamija, Alolika Gon, Pradeep Varakantham, William Yeoh
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	J	`jnl`	Value Variance Minimization for Learning Approximate Equilibrium in Aggregation Systems. CoRR Tanvi Verma, Pradeep Varakantham
2020	J	`jnl`	Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing. CoRR Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2019	A	`conf`	A Homophily-Free Community Detection Framework for Trajectories with Delayed Responses. AAMAS Chung-Kyun Han, Shih-Fen Cheng, Pradeep Varakantham
2019	A	`conf`	Correlated Learning for Aggregation Systems. UAI Tanvi Verma, Pradeep Varakantham
2019	A*	`conf`	Entropy Based Independent Learning in Anonymous Multi-Agent Settings. ICAPS Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau
2019	J	`jnl`	Neural Approximate Dynamic Programming for On-Demand Ride-Pooling. CoRR Sanket Shah, Meghna Lowalekar, Pradeep Varakantham
2019	A	`conf`	RE-ORG: An Online Repositioning Guidance Agent. AAMAS Muralidhar Konda, Pradeep Varakantham, Aayush Saxena, Meghna Lowalekar
2019	A*	`conf`	Resource Constrained Deep Reinforcement Learning. ICAPS Abhinav Bhatia, Pradeep Varakantham, Akshat Kumar
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	A*	`conf`	ZAC: A Zone Path Construction Approach for Effective Real-Time Ridesharing. ICAPS Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2018	A	`conf`	A Driver Guidance System for Taxis in Singapore. AAMAS Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Pradeep Varakantham, Nghia Troung Troung, Firmansyah Bin Abd Rahman
2018	A*	`conf`	Bounded Rank Optimization for Effective and Efficient Emergency Response. ICAPS Pallavi Manohar, Pradeep Varakantham, Hoong Chuin Lau
2018	A	`conf`	Decentralized Planning for Non-dedicated Agent Teams with Submodular Rewards in Uncertain Environments. UAI Pritee Agrawal, Pradeep Varakantham, William Yeoh
2018	A*	`conf`	Dispatch Guided Allocation Optimization for Effective Emergency Response. AAAI Supriyo Ghosh, Pradeep Varakantham
2018	J	`jnl`	Entropy Controlled Non-Stationarity for Improving Performance of Independent Learners in Anonymous MARL Settings. CoRR Tanvi Verma, Pradeep Varakantham, Hoong Chuin Lau
2018	J	`jnl`	Online spatio-temporal matching in stochastic and dynamic domains. Artif. Intell. Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2018	A*	`conf`	Reserved Optimisation: Handling Incident Priorities in Emergency Response Systems. ICAPS Muralidhar Konda, Supriyo Ghosh, Pradeep Varakantham
2018	J	`jnl`	Resource Constrained Deep Reinforcement Learning. CoRR Abhinav Bhatia, Pradeep Varakantham, Akshat Kumar
2018	J	`jnl`	Risk-Sensitive Stochastic Orienteering Problems for Trip Optimization in Urban Environments. ACM Trans. Intell. Syst. Technol. Pradeep Varakantham, Akshat Kumar, Hoong Chuin Lau, William Yeoh
2018	J	`jnl`	TuSeRACT: Turn-Sample-Based Real-Time Traffic Signal Control. CoRR Srishti Dhamija, Pradeep Varakantham
2018	A*	`conf`	Upping the Game of Taxi Driving in the Age of Uber. AAAI Shashi Shekhar Jha, Shih-Fen Cheng, Meghna Lowalekar, Nicholas Wong, Rishikeshan Rajendram, Trong Khiem Tran, Pradeep Varakantham, Trong Nghia Truong, Firmansyah Bin Abd Rahman
2017	J	`jnl`	Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation. AI Mag. Pradeep Varakantham, Bo An, Bryan Low, Jie Zhang
2017	A*	`conf`	Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Improving Revenues. ICAPS Tanvi Verma, Pradeep Varakantham, Sarit Kraus, Hoong Chuin Lau
2017	A*	`conf`	Decentralized Planning in Stochastic Environments with Submodular Rewards. AAAI Rajiv Ranjan Kumar, Pradeep Varakantham, Akshat Kumar
2017	J	`jnl`	Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems. J. Artif. Intell. Res. Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2017	A	`conf`	Exploiting Anonymity and Homogeneity in Factored Dec-MDPs through Precomputed Binomial Distributions. AAMAS Rajiv Ranjan Kumar, Pradeep Varakantham
2017	A*	`conf`	Incentivizing the Use of Bike Trailers for Dynamic Repositioning in Bike Sharing Systems. ICAPS Supriyo Ghosh, Pradeep Varakantham
2017	A*	`conf`	Mechanism Design for Strategic Project Scheduling. IJCAI Pradeep Varakantham, Na Fu
2017	A*	`conf`	Online Repositioning in Bike Sharing Systems. ICAPS Meghna Lowalekar, Pradeep Varakantham, Supriyo Ghosh, Sanjay Dominik Jena, Patrick Jaillet
2017	A*	`conf`	Proactive and Reactive Coordination of Non-dedicated Agent Teams Operating in Uncertain Environments. IJCAI Pritee Agrawal, Pradeep Varakantham
2017	J	`jnl`	Sampling Based Approaches for Minimizing Regret in Uncertain Markov Decision Processes (MDPs). J. Artif. Intell. Res. Asrar Ahmed, Pradeep Varakantham, Meghna Lowalekar, Yossiri Adulyasak, Patrick Jaillet
2016	A*	`conf`	A Proactive Sampling Approach to Project Scheduling under Uncertainty. AAAI Pradeep Varakantham, Na Fu, Hoong Chuin Lau
2016	A	`conf`	An Intelligent System for Personalized Conference Event Recommendation and Scheduling. ECAI Aldy Gunawan, Hoong Chuin Lau, Pradeep Varakantham, Wenjie Wang
2016	A	`conf`	Detecting Communities Using Coordination Games: A Short Paper. ECAI Radhika Arava, Pradeep Varakantham
2016	A*	`conf`	NLU Framework for Voice Enabling Non-Native Applications on Smart Devices. AAAI Soujanya Lanka, Deepika Pathania, Pooja Kushalappa, Pradeep Varakantham
2016	A*	`conf`	Online Spatio-Temporal Matching in Stochastic and Dynamic Domains. AAAI Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
2016	A	`conf`	PRESS: PeRsonalized Event Scheduling recommender System (Demonstration). AAMAS Hoong Chuin Lau, Aldy Gunawan, Pradeep Varakantham, Wenjie Wang
2016	A*	`conf`	Robust Decision Making for Stochastic Network Design. AAAI Akshat Kumar, Arambam James Singh, Pradeep Varakantham, Daniel Sheldon
2016	A	`conf`	Robust Influence Maximization: (Extended Abstract). AAMAS Meghna Lowalekar, Pradeep Varakantham, Akshat Kumar
2016	A*	`conf`	Robust Partial Order Schedules for RCPSP/max with Durational Uncertainty. ICAPS Na Fu, Pradeep Varakantham, Hoong Chuin Lau
2016	A*	`conf`	Robust Repositioning to Counter Unpredictable Demand in Bike Sharing Systems. IJCAI Supriyo Ghosh, Michael A. Trick, Pradeep Varakantham
2016	A*	`conf`	Scalable Greedy Algorithms for Task/Resource Constrained Multi-Agent Stochastic Planning. IJCAI Pritee Agrawal, Pradeep Varakantham, William Yeoh
2016	A*	`conf`	Sequential Decision Making for Improving Efficiency in Urban Environments. IJCAI Pradeep Varakantham
2016	A*	`conf`	Solving Risk-Sensitive POMDPs With and Without Cost Observations. AAAI Ping Hou, William Yeoh, Pradeep Varakantham
2016	A*	`conf`	Strategic Planning for Setting Up Base Stations in Emergency Medical Systems. ICAPS Supriyo Ghosh, Pradeep Varakantham
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	A	`conf`	DIRECT: A Scalable Approach for Route Guidance in Selfish Orienteering Problems. AAMAS Pradeep Varakantham, Hala Mostafa, Na Fu, Hoong Chuin Lau
2015	—	`conf`	Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. AAAI Workshop: AI for Cities Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2015	A*	`conf`	Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. ICAPS Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2015	B	`conf`	Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. SOCS Supriyo Ghosh, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2015	—	`conf`	Incremental DCOP Search Algorithms for Solving Dynamic DCOP Problems. WI-IAT (2) William Yeoh, Pradeep Varakantham, Xiaoxun Sun, Sven Koenig
2015	—	`conf`	Learning and Controlling Network Diffusion in Dependent Cascade Models. WI-IAT (2) Jiali Du, Pradeep Varakantham, Akshat Kumar, Shih-Fen Cheng
2015	A	`conf`	Near-Optimal Decentralized Power Supply Restoration in Smart Grids. AAMAS Pritee Agrawal, Akshat Kumar, Pradeep Varakantham
2015	A*	`conf`	Probabilistic Inference Based Message-Passing for Resource Constrained DCOPs. IJCAI Supriyo Ghosh, Akshat Kumar, Pradeep Varakantham
2015	A*	`conf`	Risk Based Optimization for Improving Emergency Medical Systems. AAAI Sandhya Saisubramanian, Pradeep Varakantham, Hoong Chuin Lau
2015	J	`jnl`	Robust execution strategies for project scheduling with unreliable resources and stochastic durations. J. Sched. Na Fu, Hoong Chuin Lau, Pradeep Varakantham
2015	A*	`conf`	Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty. AAAI Yossiri Adulyasak, Pradeep Varakantham, Asrar Ahmed, Patrick Jaillet
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	A*	`conf`	Decentralized Stochastic Planning with Anonymity in Interactions. AAAI Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2014	B	`conf`	Marginal Contribution Stochastic Games for Dynamic Resource Allocation. PRIMA Archie C. Chapman, Pradeep Varakantham
2014	A	`conf`	On understanding diffusion dynamics of patrons at a theme park. AAMAS Jiali Du, Akshat Kumar, Pradeep Varakantham
2014	A*	`conf`	Revisiting Risk-Sensitive MDPs: New Algorithms and Results. ICAPS Ping Hou, William Yeoh, Pradeep Varakantham
2014	J	`jnl`	Robust Local Search for Solving RCPSP/max with Durational Uncertainty. CoRR Na Fu, Hoong Chuin Lau, Pradeep Varakantham, Fei Xiao
2014	A*	`conf`	STREETS: Game-Theoretic Traffic Patrolling with Exploration and Exploitation. AAAI Matthew Brown, Sandhya Saisubramanian, Pradeep Varakantham, 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	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	Misc	`conf`	An agent-based simulation approach to experience management in theme parks. WSC Shih-Fen Cheng, Larry Lin, Jiali Du, Hoong Chuin Lau, Pradeep Varakantham
2013	—	`conf`	Budgeted Personalized Incentive Approaches for Smoothing Congestion in Resource Networks. ADT Pradeep Varakantham, Na Fu, William Yeoh, Shih-Fen Cheng, Hoong Chuin Lau
2013	—	`conf`	Optimization Approaches for Solving Chance Constrained Stochastic Orienteering Problems. ADT Pradeep Varakantham, Akshat Kumar
2013	—	`conf`	Regret based Robust Solutions for Uncertain Markov Decision Processes. NIPS Asrar Ahmed, Pradeep Varakantham, Yossiri Adulyasak, Patrick Jaillet
2013	C	`conf`	Scalable Randomized Patrolling for Securing Rapid Transit Networks. IAAI Pradeep Varakantham, Hoong Chuin Lau, Zhi Yuan
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`	Active malware analysis using stochastic games. AAMAS Simon Andrew Williamson, Pradeep Varakantham, Ong Chen Hui, Debin Gao
2012	A*	`conf`	Decision Support for Agent Populations in Uncertain and Congested Environments. AAAI Pradeep Varakantham, Shih-Fen Cheng, Geoffrey J. Gordon, Asrar Ahmed
2012	A	`conf`	Delayed observation planning in partially observable domains. AAMAS Pradeep Varakantham, Janusz Marecki
2012	J	`jnl`	Dynamic Stochastic Orienteering Problems for Risk-Aware Applications CoRR Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen
2012	A	`conf`	Dynamic Stochastic Orienteering Problems for Risk-Aware Applications. UAI Hoong Chuin Lau, William Yeoh, Pradeep Varakantham, Duc Thien Nguyen, HuaXing Chen
2012	—	`conf`	Lagrangian Relaxation for Large-Scale Multi-agent Planning. IAT Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng
2012	A	`conf`	Lagrangian relaxation for large-scale multi-agent planning. AAMAS Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng
2012	A	`conf`	Prioritized shaping of models for solving DEC-POMDPs. AAMAS Pradeep Varakantham, William Yeoh, Prasanna Velagapudi, Katia P. Sycara, Paul Scerri
2012	J	`jnl`	Reports of the AAAI 2011 Fall Symposia. AI Mag. Sam Blisard, Ted Carmichael, Li Ding, Tim Finin, Wende Frost, Arthur C. Graesser, Mirsad Hadzikadic, Lalana Kagal, Geert-Jan M. Kruijff, Pat Langley, James C. Lester, Deborah L. McGuinness, Jack Mostow, Panagiotis Papadakis, Fiora Pirri, Rashmi Prasad, Svetlana Stoyanchev, Pradeep Varakantham
2012	J	`jnl`	Robust Local Search for Solving RCPSP/max with Durational Uncertainty. J. Artif. Intell. Res. Na Fu, Hoong Chuin Lau, Pradeep Varakantham, Fei Xiao
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`	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`	Uncertain Congestion Games with Assorted Human Agent Populations CoRR Asrar Ahmed, Pradeep Varakantham, Shih-Fen Cheng
2012	A	`conf`	Uncertain Congestion Games with Assorted Human Agent Populations. UAI Asrar Ahmed, Pradeep Varakantham, Shih-Fen Cheng
2011	A	`conf`	Adaptive decision support for structured organizations: a case for OrgPOMDPs. AAMAS Pradeep Varakantham, Nathan Schurr, Alan Carlin, Christopher Amato
2011	A	`conf`	Decentralized decision support for an agent population in dynamic and uncertain domains. AAMAS Pradeep Varakantham, Shih-Fen Cheng, Nguyen Thi Duon
2011	—	`conf`	Decision Support in Organizations: A Case for OrgPOMDPs. IAT Pradeep Varakantham, Nathan Schurr, Alan Carlin, Christopher Amato
2011	A	`conf`	Distributed model shaping for scaling to decentralized POMDPs with hundreds of agents. AAMAS Prasanna Velagapudi, Pradeep Varakantham, Katia P. Sycara, Paul Scerri
2011	A	`conf`	Incremental DCOP search algorithms for solving dynamic DCOPs. AAMAS William Yeoh, Pradeep Varakantham, Xiaoxun Sun, Sven Koenig
2011	—	`conf`	Social Model Shaping for Solving Generic DEC-POMDPs. IAT Pradeep Varakantham
2010	—	`conf`	A Decision Theoretic Approach to Data Leakage Prevention. SocialCom/PASSAT Janusz Marecki, Mudhakar Srivatsa, Pradeep Varakantham
2010	A	`conf`	Analyzing the impact of human bias on human-agent teams in resource allocation domains. AAMAS Praveen Paruchuri, Pradeep Varakantham, Katia P. Sycara, Paul Scerri
2010	—	`conf`	Effect of Human Biases on Human-Agent Teams. IAT Praveen Paruchuri, Pradeep Varakantham, Katia P. Sycara, Paul Scerri
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	A	`conf`	Risk-sensitive planning in partially observable environments. AAMAS Janusz Marecki, Pradeep Varakantham
2010	A*	`conf`	Towards Finding Robust Execution Strategies for RCPSP/max with Durational Uncertainty. ICAPS Na Fu, Pradeep Varakantham, Hoong Chuin Lau
2009	—	`conf`	Caching schemes for DCOP search algorithms. AAMAS (1) William Yeoh, Pradeep Varakantham, Sven Koenig
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
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	A*	`conf`	Linear Relaxation Techniques for Task Management in Uncertain Settings. ICAPS Pradeep Varakantham, Stephen F. Smith
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
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	—	`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	—	`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	—	`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	—	`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	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	A	`conf`	Winning back the CUP for distributed POMDPs: planning over continuous belief spaces. AAMAS Pradeep Varakantham, Ranjit Nair, Milind Tambe, Makoto Yokoo
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`	Exploiting belief bounds: practical POMDPs for personal assistant agents. AAMAS Pradeep Varakantham, Rajiv T. Maheswaran, 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`	Practical POMDPs for Personal Assistant Domains. AAAI Spring Symposium: Persistent Assistants: Living and Working with AI Pradeep Varakantham, Rajiv T. Maheswaran, Milind Tambe
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`	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
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
2002	J	`jnl`	On handling component and transaction failures in multi agent systems. SIGecom Exch. Pradeep Varakantham, Santosh Kumar Gangwani, Kamalakar Karlapalem