| 2023 | AAAI | DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching. | Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone |
| 2022 | RoboCup | Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer. | Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, Peter Stone |
| 2020 | ICML | Reducing Sampling Error in Batch Temporal Difference Learning. | Brahma S. Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone |
| 2020 | IJCAI | Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning. | Ishan Durugkar, Elad Liebman, Peter Stone |
| 2018 | AAAI | Adversarial Goal Generation for Intrinsic Motivation. | Ishan Durugkar, Peter Stone |
| 2018 | ICLR | 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 |
| 2017 | AAAI | 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 |