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Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning


Oct 24, 2019
Tianhe Yu, Deirdre Quillen, Zhanpeng He, Ryan Julian, Karol Hausman, Chelsea Finn, Sergey Levine

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* CoRL 2019. Videos are here: meta-world.github.io and open-sourced codes are available at: https://github.com/rlworkgroup/metaworld 

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Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables


Mar 19, 2019
Kate Rakelly, Aurick Zhou, Deirdre Quillen, Chelsea Finn, Sergey Levine

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QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation


Nov 28, 2018
Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine

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* CoRL 2018 camera ready. 23 pages, 14 figures 

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Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods


Mar 28, 2018
Deirdre Quillen, Eric Jang, Ofir Nachum, Chelsea Finn, Julian Ibarz, Sergey Levine

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* 8 pages 

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Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection


Aug 28, 2016
Sergey Levine, Peter Pastor, Alex Krizhevsky, Deirdre Quillen

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* This is an extended version of "Learning Hand-Eye Coordination for Robotic Grasping with Large-Scale Data Collection," ISER 2016. Draft modified to correct typo in Algorithm 1 and add a link to the publicly available dataset 

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