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Wasserstein Distance Maximizing Intrinsic Control

Oct 28, 2021
Ishan Durugkar, Steven Hansen, Stephen Spencer, Volodymyr Mnih

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Adversarial Intrinsic Motivation for Reinforcement Learning

May 30, 2021
Ishan Durugkar, Mauricio Tec, Scott Niekum, Peter Stone

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Reducing Sampling Error in Batch Temporal Difference Learning

Aug 15, 2020
Brahma Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone

* Accepted to International Conference on Machine Learning (ICML) 2020 

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An Imitation from Observation Approach to Sim-to-Real Transfer

Aug 04, 2020
Siddarth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone

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Multi-Preference Actor Critic

Apr 05, 2019
Ishan Durugkar, Matthew Hausknecht, Adith Swaminathan, Patrick MacAlpine

* NeurIPS Workshop on Deep RL, 2018 

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Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

Nov 15, 2017
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum

* ICLR 2018 submission 

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Inverting Variational Autoencoders for Improved Generative Accuracy

Aug 24, 2017
Ian Gemp, Ishan Durugkar, Mario Parente, M. Darby Dyar, Sridhar Mahadevan

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Generative Multi-Adversarial Networks

Mar 02, 2017
Ishan Durugkar, Ian Gemp, Sridhar Mahadevan

* Accepted as a conference paper (poster) at ICLR 2017 

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