Durugkar, Ishan

13 publications

NeurIPS 2024 N-Agent Ad Hoc Teamwork Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone

AAAI 2023 DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone

NeurIPS 2023 F-Policy Gradients: A General Framework for Goal-Conditioned RL Using F-Divergences Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang

NeurIPSW 2022 ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning Eddy Hudson, Ishan Durugkar, Garrett Warnell, Peter Stone

NeurIPSW 2022 ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning Eddy Hudson, Ishan Durugkar, Garrett Warnell, Peter Stone

NeurIPS 2021 Adversarial Intrinsic Motivation for Reinforcement Learning Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone

NeurIPSW 2021 Wasserstein Distance Maximizing Intrinsic Control Ishan Durugkar, Steven Stenberg Hansen, Stephen Spencer, Volodymyr Mnih

NeurIPS 2020 An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone

IJCAI 2020 Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning Ishan Durugkar, Elad Liebman, Peter Stone

ICML 2020 Reducing Sampling Error in Batch Temporal Difference Learning Brahma Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone

AAAI 2018 Adversarial Goal Generation for Intrinsic Motivation Ishan Durugkar, Peter Stone

ICLR 2018 Go for a Walk and Arrive at the Answer: Reasoning over Paths in Knowledge Bases Using Reinforcement Learning Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum

AAAI 2017 Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill