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D2RL: Deep Dense Architectures in Reinforcement Learning

Oct 19, 2020
Samarth Sinha, Homanga Bharadhwaj, Aravind Srinivas, Animesh Garg


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Evaluating Self-Supervised Pretraining Without Using Labels

Sep 16, 2020
Colorado Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer


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SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

Jul 09, 2020
Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel


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Reinforcement Learning with Augmented Data

May 11, 2020
Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas

* First two authors contributed equally, website: https://mishalaskin.github.io/rad code: https://github.com/MishaLaskin/rad and https://github.com/pokaxpoka/rad_procgen 

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CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Apr 28, 2020
Aravind Srinivas, Michael Laskin, Pieter Abbeel

* First two authors contributed equally, website: https://mishalaskin.github.io/curl code: https://github.com/MishaLaskin/curl 

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Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design

Feb 01, 2019
Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel

* 16 pages 

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Universal Planning Networks

Apr 04, 2018
Aravind Srinivas, Allan Jabri, Pieter Abbeel, Sergey Levine, Chelsea Finn

* Videos available at https://sites.google.com/view/upn-public/home 

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