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ORCIDIshan Durugkar
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- affiliation: University of Texas at Austin, TX, USA
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Conference and Workshop Papers
- 2023
[c14]Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone:
DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching. AAAI 2023: 11699-11707- [c13]Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang:
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences. NeurIPS 2023 - 2022
- [c12]Sai Kiran Narayanaswami, Mauricio Tec, Ishan Durugkar, Siddharth Desai, Bharath Masetty, Sanmit Narvekar, Peter Stone:
Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer. RoboCup 2022: 62-74 - 2021
- [c11]Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone:
Adversarial Intrinsic Motivation for Reinforcement Learning. NeurIPS 2021: 8622-8636 - 2020
- [c10]Brahma S. Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone:
Reducing Sampling Error in Batch Temporal Difference Learning. ICML 2020: 7543-7552 - [c9]Ishan Durugkar, Elad Liebman, Peter Stone:
Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning. IJCAI 2020: 2505-2511 - [c8]Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone:
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch. NeurIPS 2020 - 2018
- [c7]Ishan Durugkar, Peter Stone:
Adversarial Goal Generation for Intrinsic Motivation. AAAI 2018: 8073-8074 - [c6]Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum:
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. ICLR (Poster) 2018 - 2017
- [c5]Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh, Ishan Durugkar, Emma Brunskill:
Predictive Off-Policy Policy Evaluation for Nonstationary Decision Problems, with Applications to Digital Marketing. AAAI 2017: 4740-4745 - [c4]Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum:
Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning. AKBC@NIPS 2017 - [c3]Ishan P. Durugkar, Ian Gemp, Sridhar Mahadevan:
Generative Multi-Adversarial Networks. ICLR (Poster) 2017 - [c2]Mario Parente, Ian Gemp, Ishan P. Durugkar:
Unmixing in the presence of nuisances with deep generative models. IGARSS 2017: 5189-5192 - 2013
- [c1]Anand J. Kulkarni
, Ishan P. Durugkar, Mrinal Kumar:
Cohort Intelligence: A Self Supervised Learning Behavior. SMC 2013: 1396-1400
Informal and Other Publications
- 2024
- [i13]Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone:
N-Agent Ad Hoc Teamwork. CoRR abs/2404.10740 (2024) - 2023
- [i12]Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang:
f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences. CoRR abs/2310.06794 (2023) - 2022
- [i11]Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone:
DM2: Distributed Multi-Agent Reinforcement Learning for Distribution Matching. CoRR abs/2206.00233 (2022) - [i10]Eddy Hudson, Ishan Durugkar, Garrett Warnell, Peter Stone:
ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning. CoRR abs/2211.04005 (2022) - 2021
- [i9]Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone:
Adversarial Intrinsic Motivation for Reinforcement Learning. CoRR abs/2105.13345 (2021) - [i8]Ishan Durugkar, Steven Hansen, Stephen Spencer, Volodymyr Mnih:
Wasserstein Distance Maximizing Intrinsic Control. CoRR abs/2110.15331 (2021) - 2020
- [i7]Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone:
An Imitation from Observation Approach to Sim-to-Real Transfer. CoRR abs/2008.01594 (2020) - [i6]Brahma S. Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone:
Reducing Sampling Error in Batch Temporal Difference Learning. CoRR abs/2008.06738 (2020) - 2019
- [i5]Ishan Durugkar, Matthew J. Hausknecht, Adith Swaminathan, Patrick MacAlpine:
Multi-Preference Actor Critic. CoRR abs/1904.03295 (2019) - 2017
- [i4]Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alexander J. Smola, Andrew McCallum:
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. CoRR abs/1711.05851 (2017) - 2016
- [i3]Ishan P. Durugkar, Clemens Rosenbaum, Stefan Dernbach, Sridhar Mahadevan:
Deep Reinforcement Learning With Macro-Actions. CoRR abs/1606.04615 (2016) - [i2]Ian Gemp, Ishan P. Durugkar, Mario Parente, Melinda Darby Dyar, Sridhar Mahadevan:
Deep Generative Models for Spectroscopic Analysis on Mars. CoRR abs/1608.05983 (2016) - [i1]Ishan P. Durugkar, Ian Gemp, Sridhar Mahadevan:
Generative Multi-Adversarial Networks. CoRR abs/1611.01673 (2016)
Coauthor Index
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