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Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning


Oct 27, 2020
Aviral Kumar, Rishabh Agarwal, Dibya Ghosh, Sergey Levine

* Pre-print. First two authors contributed equally 

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Representations for Stable Off-Policy Reinforcement Learning


Jul 10, 2020
Dibya Ghosh, Marc G. Bellemare

* ICML 2020 

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An operator view of policy gradient methods


Jun 22, 2020
Dibya Ghosh, Marlos C. Machado, Nicolas Le Roux


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On Catastrophic Interference in Atari 2600 Games


Feb 28, 2020
William Fedus, Dibya Ghosh, John D. Martin, Marc G. Bellemare, Yoshua Bengio, Hugo Larochelle

* First two authors contributed equally. Code available to reproduce experiments at https://github.com/google-research/google-research/tree/master/memento 

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Learning To Reach Goals Without Reinforcement Learning


Dec 13, 2019
Dibya Ghosh, Abhishek Gupta, Justin Fu, Ashwin Reddy, Coline Devin, Benjamin Eysenbach, Sergey Levine

* First two authors contributed equally 

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Learning Actionable Representations with Goal-Conditioned Policies


Nov 19, 2018
Dibya Ghosh, Abhishek Gupta, Sergey Levine


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Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition


May 31, 2018
Justin Fu, Avi Singh, Dibya Ghosh, Larry Yang, Sergey Levine

* First two authors contributed equally. Website: https://sites.google.com/view/inverse-event 

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Divide-and-Conquer Reinforcement Learning


Apr 27, 2018
Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine

* Presented at ICLR 2018. Videos and supporting materials are located at http://bit.ly/dnc-rl 

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