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Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization


Jun 23, 2020
Tatsuya Matsushima, Hiroki Furuta, Yutaka Matsuo, Ofir Nachum, Shixiang Gu

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Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning


Apr 27, 2020
Archit Sharma, Michael Ahn, Sergey Levine, Vikash Kumar, Karol Hausman, Shixiang Gu

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A Divergence Minimization Perspective on Imitation Learning Methods


Nov 06, 2019
Seyed Kamyar Seyed Ghasemipour, Richard Zemel, Shixiang Gu

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* Published at Conference on Robot Learning (CoRL) 2019. For datasets and reproducing results please refer to https://github.com/KamyarGh/rl_swiss/blob/master/reproducing/fmax_paper.md 

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Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?


Sep 23, 2019
Ofir Nachum, Haoran Tang, Xingyu Lu, Shixiang Gu, Honglak Lee, Sergey Levine

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Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real


Aug 13, 2019
Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Gu, Vikash Kumar

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Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog


Jul 08, 2019
Natasha Jaques, Asma Ghandeharioun, Judy Hanwen Shen, Craig Ferguson, Agata Lapedriza, Noah Jones, Shixiang Gu, Rosalind Picard

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Dynamics-Aware Unsupervised Discovery of Skills


Jul 02, 2019
Archit Sharma, Shixiang Gu, Sergey Levine, Vikash Kumar, Karol Hausman

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Language as an Abstraction for Hierarchical Deep Reinforcement Learning


Jun 18, 2019
Yiding Jiang, Shixiang Gu, Kevin Murphy, Chelsea Finn

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* 20 pages, 21 figures 

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