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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

* 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

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

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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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IITK at SemEval-2020 Task 10: Transformers for Emphasis Selection


Jul 21, 2020
Vipul Singhal, Sahil Dhull, Rishabh Agarwal, Ashutosh Modi

* 6 pages, 3 figures, 3 tables. Accepted at Proceedings of 14th International Workshop on Semantic Evaluation (SemEval-2020) 

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Revisiting Fundamentals of Experience Replay


Jul 13, 2020
William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney

* Published at ICML 2020. First two authors contributed equally and code available at https://github.com/google-research/google-research/tree/master/experience_replay 

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RL Unplugged: Benchmarks for Offline Reinforcement Learning


Jul 02, 2020
Caglar Gulcehre, Ziyu Wang, Alexander Novikov, Tom Le Paine, Sergio Gomez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matt Hoffman, Ofir Nachum, George Tucker, Nicolas Heess, Nando de Freitas

* 21 pages including supplementary material, the github link for the datasets: https://github.com/deepmind/deepmind-research/rl_unplugged 

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Neural Additive Models: Interpretable Machine Learning with Neural Nets


Apr 29, 2020
Rishabh Agarwal, Nicholas Frosst, Xuezhou Zhang, Rich Caruana, Geoffrey E. Hinton


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Striving for Simplicity in Off-policy Deep Reinforcement Learning


Jul 10, 2019
Rishabh Agarwal, Dale Schuurmans, Mohammad Norouzi


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Learning to Generalize from Sparse and Underspecified Rewards


Feb 19, 2019
Rishabh Agarwal, Chen Liang, Dale Schuurmans, Mohammad Norouzi


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Evaluation Function Approximation for Scrabble


Jan 25, 2019
Rishabh Agarwal


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