Tokekar, Pratap

9 publications

TMLR 2025 Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning Peihong Yu, Manav Mishra, Alec Koppel, Carl Busart, Priya Narayan, Dinesh Manocha, Amrit Singh Bedi, Pratap Tokekar

NeurIPS 2025 CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems Rui Liu, Yu Shen, Peng Gao, Pratap Tokekar, Ming Lin

ICCV 2025 GenFlowRL: Shaping Rewards with Generative Object-Centric Flow in Visual Reinforcement Learning Kelin Yu, Sheng Zhang, Harshit Soora, Furong Huang, Heng Huang, Pratap Tokekar, Ruohan Gao

NeurIPS 2025 On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning Anas Barakat, Souradip Chakraborty, Peihong Yu, Pratap Tokekar, Amrit Singh Bedi

NeurIPS 2024 Boosting Sample Efficiency and Generalization in Multi-Agent Reinforcement Learning via Equivariance Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar

AAAI 2023 Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian M. Sadler, Furong Huang, Dinesh Manocha

ICML 2022 On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian M Sadler, Pratap Tokekar, Alec Koppel

NeurIPSW 2022 Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning Souradip Chakraborty, Amrit Bedi, Alec Koppel, Pratap Tokekar, Furong Huang, Dinesh Manocha

ICLR 2022 Reinforcement Learning Under a Multi-Agent Predictive State Representation Model: Method and Theory Zhi Zhang, Zhuoran Yang, Han Liu, Pratap Tokekar, Furong Huang