Ishan Durugkar

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Intrinsic Motivation

Temporal Difference

Policy Gradient

Reinforcement Learning

Top Venues

Publications

Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone
N-Agent Ad Hoc Teamwork. CoRR (2024)
Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone
DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching. AAAI (2023)
Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences. CoRR (2023)
Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences. NeurIPS (2023)
Caroline Wang, Ishan Durugkar, Elad Liebman, Peter Stone
: Distributed Multi-Agent Reinforcement Learning for Distribution Matching. CoRR (2022)
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)
Eddy Hudson, Ishan Durugkar, Garrett Warnell, Peter Stone
ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning. CoRR (2022)
Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone
Adversarial Intrinsic Motivation for Reinforcement Learning. CoRR (2021)
Ishan Durugkar, Steven Hansen, Stephen Spencer, Volodymyr Mnih
Wasserstein Distance Maximizing Intrinsic Control. CoRR (2021)
Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone
Adversarial Intrinsic Motivation for Reinforcement Learning. NeurIPS (2021)
Brahma S. Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone
Reducing Sampling Error in Batch Temporal Difference Learning. ICML (2020)
Brahma S. Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone
Reducing Sampling Error in Batch Temporal Difference Learning. CoRR (2020)
Ishan Durugkar, Elad Liebman, Peter Stone
Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning. IJCAI (2020)
Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone
An Imitation from Observation Approach to Sim-to-Real Transfer. CoRR (2020)
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)
Ishan Durugkar, Matthew J. Hausknecht, Adith Swaminathan, Patrick MacAlpine
Multi-Preference Actor Critic. CoRR (2019)
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)
Ishan Durugkar, Peter Stone
Adversarial Goal Generation for Intrinsic Motivation. AAAI (2018)
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)
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)
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 (2017)