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Benchmarks for Deep Off-Policy Evaluation


Mar 30, 2021
Justin Fu, Mohammad Norouzi, Ofir Nachum, George Tucker, Ziyu Wang, Alexander Novikov, Mengjiao Yang, Michael R. Zhang, Yutian Chen, Aviral Kumar, Cosmin Paduraru, Sergey Levine, Tom Le Paine

* ICLR 2021 paper. Policies and evaluation code are available at https://github.com/google-research/deep_ope 

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Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation


Feb 16, 2021
Justin Fu, Sergey Levine


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Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems


May 04, 2020
Sergey Levine, Aviral Kumar, George Tucker, Justin Fu


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D4RL: Datasets for Deep Data-Driven Reinforcement Learning


Apr 20, 2020
Justin Fu, Aviral Kumar, Ofir Nachum, George Tucker, Sergey Levine

* Website available at https://sites.google.com/view/d4rl/home 

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Datasets for Data-Driven Reinforcement Learning


Apr 15, 2020
Justin Fu, Aviral Kumar, Ofir Nachum, George Tucker, Sergey Levine


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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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When to Trust Your Model: Model-Based Policy Optimization


Jun 19, 2019
Michael Janner, Justin Fu, Marvin Zhang, Sergey Levine

* Project page: https://people.eecs.berkeley.edu/~janner/mbpo/ 

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Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction


Jun 03, 2019
Aviral Kumar, Justin Fu, George Tucker, Sergey Levine


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Diagnosing Bottlenecks in Deep Q-learning Algorithms


Feb 26, 2019
Justin Fu, Aviral Kumar, Matthew Soh, Sergey Levine


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From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following


Feb 20, 2019
Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama


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Learning Robust Rewards with Adversarial Inverse Reinforcement Learning


Aug 13, 2018
Justin Fu, Katie Luo, 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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EX2: Exploration with Exemplar Models for Deep Reinforcement Learning


May 27, 2017
Justin Fu, John D. Co-Reyes, Sergey Levine


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Generalizing Skills with Semi-Supervised Reinforcement Learning


Mar 09, 2017
Chelsea Finn, Tianhe Yu, Justin Fu, Pieter Abbeel, Sergey Levine

* ICLR 2017 

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One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors


Aug 11, 2016
Justin Fu, Sergey Levine, Pieter Abbeel


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