Ishan Durugkar
Ph.D. Student
Homepage:
https://www.cs.utexas.edu/~ishand
Publications
DM$^2$: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching 2023
Caroline Wang, Ishan Durugkar, Elad Liebman, and Peter Stone, In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, D.C., February 2023.
Towards a Real-Time, Low-Resource, End-to-end Object Detection Pipeline for Robot Soccer 2022
Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, and Peter Stone, In Proceedings of the RoboCup Symposium, 2022, Bangkok, Thailand, July 2022.
Adversarial Intrinsic Motivation for Reinforcement Learning 2021
Ishan Durugkar, Mauricio Tec, Scott Niekum, and Peter Stone, In Proceedings of the 35th International Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia, December 2021.
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch 2020
Siddarth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, and Peter Stone, In Proceedings of the 34th International Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual, December 2020.
Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning 2020
Ishan Durugkar, Elad Liebman, and Peter Stone, Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020) (2020).
On Sampling Error in Batch Action-Value Prediction Algorithms 2020
Brahma S. Pavse, Josiah P. Hanna, Ishan Durugkar, and Peter Stone, In In the Offline Reinforcement Learning Workshop at Neural Information Processing Systems (NeurIPS), December 2020., Remote (Virtual Conference), December 2020.
Reducing Sampling Error in Batch Temporal Difference Learning 2020
Brahma Pavse, Ishan Durugkar, Josiah Hanna, and Peter Stone, In Proceedings of the 37th International Conference on Machine Learning (ICML), Vienna, Austria (Virtual Conference), July 2020.
TD Learning with Constrained Gradients 2017
Ishan Durugkar and Peter Stone, In Proceedings of the Deep Reinforcement Learning Symposium, NIPS 2017, Long Beach, CA, USA, December 2017.
Areas of Interest
Deep Learning Reinforcement Learning
Labs
Currently affiliated with Learning Agents