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Rishabh Agarwal
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Google Research Brain Team

The Dormant Neuron Phenomenon in Deep Reinforcement Learning


Feb 24, 2023
Ghada Sokar, Rishabh Agarwal, Pablo Samuel Castro, Utku Evci

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Revisiting Bellman Errors for Offline Model Selection


Jan 31, 2023
Joshua P. Zitovsky, Daniel de Marchi, Rishabh Agarwal, Michael R. Kosorok

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* Main paper: 9 pages, 4 figures, 2 tables Main + Appendix: 31 pages, 11 figures, 2 tables For associated source code, please see https://github.com/jzitovsky/SBV 
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A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces


Dec 08, 2022
Charline Le Lan, Joshua Greaves, Jesse Farebrother, Mark Rowland, Fabian Pedregosa, Rishabh Agarwal, Marc G. Bellemare

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* 8 pages in main content, 2 pages of bibliography and 5 pages in Appendix 
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Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes


Nov 28, 2022
Aviral Kumar, Rishabh Agarwal, Xinyang Geng, George Tucker, Sergey Levine

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Beyond Tabula Rasa: Reincarnating Reinforcement Learning


Jun 03, 2022
Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron Courville, Marc G. Bellemare

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On the Generalization of Representations in Reinforcement Learning


Mar 01, 2022
Charline Le Lan, Stephen Tu, Adam Oberman, Rishabh Agarwal, Marc G. Bellemare

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* Accepted at AISTATS22 
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DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization


Dec 09, 2021
Aviral Kumar, Rishabh Agarwal, Tengyu Ma, Aaron Courville, George Tucker, Sergey Levine

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Deep Reinforcement Learning at the Edge of the Statistical Precipice


Aug 30, 2021
Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron Courville, Marc G. Bellemare

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Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation


Jun 06, 2021
Evgenii Nikishin, Romina Abachi, Rishabh Agarwal, Pierre-Luc Bacon

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* Code at https://github.com/evgenii-nikishin/omd 
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Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning


Jan 13, 2021
Rishabh Agarwal, Marlos C. Machado, Pablo Samuel Castro, Marc G. Bellemare

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* Accepted at ICLR 2021 (Spotlight). Website: https://agarwl.github.io/pse 
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