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Autonomous Reinforcement Learning: Formalism and Benchmarking


Dec 17, 2021
Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn


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Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention


Apr 22, 2021
Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine

* Published at ICRA 2021. First four authors contributed equally 

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Continual Learning of Control Primitives: Skill Discovery via Reset-Games


Nov 10, 2020
Kelvin Xu, Siddharth Verma, Chelsea Finn, Sergey Levine

* To appear at NeurIPS 2020 

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Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples


Mar 07, 2019
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle


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Learning a Prior over Intent via Meta-Inverse Reinforcement Learning


Oct 10, 2018
Kelvin Xu, Ellis Ratner, Anca Dragan, Sergey Levine, Chelsea Finn


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Probabilistic Model-Agnostic Meta-Learning


Jun 07, 2018
Chelsea Finn, Kelvin Xu, Sergey Levine

* First two authors contributed equally. Supplementary results available at https://sites.google.com/view/probabilistic-maml/ 

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Trust-PCL: An Off-Policy Trust Region Method for Continuous Control


Feb 22, 2018
Ofir Nachum, Mohammad Norouzi, Kelvin Xu, Dale Schuurmans

* ICLR 2018 

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Bridging the Gap Between Value and Policy Based Reinforcement Learning


Nov 22, 2017
Ofir Nachum, Mohammad Norouzi, Kelvin Xu, Dale Schuurmans

* NIPS 2017 

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Unsupervised Perceptual Rewards for Imitation Learning


Jun 12, 2017
Pierre Sermanet, Kelvin Xu, Sergey Levine


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An Actor-Critic Algorithm for Sequence Prediction


Mar 03, 2017
Dzmitry Bahdanau, Philemon Brakel, Kelvin Xu, Anirudh Goyal, Ryan Lowe, Joelle Pineau, Aaron Courville, Yoshua Bengio


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