Ishan Durugkar

24 papers A* 9C 1Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Semantic World Models. CoRR Jacob Berg, Chuning Zhu, Yanda Bao, Ishan Durugkar, Abhishek Gupta
2025	J	`jnl`	Sequence Modeling for N-Agent Ad Hoc Teamwork. CoRR Caroline Wang, Di Yang Shi, Elad Liebman, Ishan Durugkar, Arrasy Rahman, Peter Stone
2024	J	`jnl`	N-Agent Ad Hoc Teamwork. CoRR Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone
2024	A*	`conf`	N-agent Ad Hoc Teamwork. NeurIPS Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone
2023	A*	`conf`	DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching. AAAI Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone
2023	J	`jnl`	f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences. CoRR Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
2023	A*	`conf`	f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences. NeurIPS Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
2022	J	`jnl`	ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning. CoRR Eddy Hudson, Ishan Durugkar, Garrett Warnell, Peter Stone
2022	J	`jnl`	DM CoRR Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone
2022	C	`conf`	Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer. RoboCup Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, Peter Stone
2021	A*	`conf`	Adversarial Intrinsic Motivation for Reinforcement Learning. NeurIPS Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone
2021	J	`jnl`	Adversarial Intrinsic Motivation for Reinforcement Learning. CoRR Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone
2021	J	`jnl`	Wasserstein Distance Maximizing Intrinsic Control. CoRR Ishan Durugkar, Steven Hansen, Stephen Spencer, Volodymyr Mnih
2020	J	`jnl`	An Imitation from Observation Approach to Sim-to-Real Transfer. CoRR Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone
2020	A*	`conf`	An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch. NeurIPS Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone
2020	A*	`conf`	Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning. IJCAI Ishan Durugkar, Elad Liebman, Peter Stone
2020	A*	`conf`	Reducing Sampling Error in Batch Temporal Difference Learning. ICML Brahma S. Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone
2020	J	`jnl`	Reducing Sampling Error in Batch Temporal Difference Learning. CoRR Brahma S. Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone
2019	J	`jnl`	Multi-Preference Actor Critic. CoRR Ishan Durugkar, Matthew J. Hausknecht, Adith Swaminathan, Patrick MacAlpine
2018	A*	`conf`	Adversarial Goal Generation for Intrinsic Motivation. AAAI Ishan Durugkar, Peter Stone
2018	—	`conf`	Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. ICLR (Poster) Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum
2017	—	`conf`	Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning. AKBC@NIPS Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum
2017	J	`jnl`	Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. CoRR Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alexander J. Smola, Andrew McCallum
2017	A*	`conf`	Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing. AAAI Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill