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Model-based Adversarial Meta-Reinforcement Learning


Jun 16, 2020
Zichuan Lin, Garrett Thomas, Guangwen Yang, Tengyu Ma

* Code at https://github.com/LinZichuan/AdMRL 

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MOPO: Model-based Offline Policy Optimization


May 27, 2020
Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Zou, Sergey Levine, Chelsea Finn, Tengyu Ma

* First two authors contributed equally. Last two authors advised equally 

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A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning


Jul 15, 2019
Nicholas C. Landolfi, Garrett Thomas, Tengyu Ma

* 13 pages, 3 figures 

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Learning Robotic Assembly from CAD


Jul 24, 2018
Garrett Thomas, Melissa Chien, Aviv Tamar, Juan Aparicio Ojea, Pieter Abbeel

* In the proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, May 2018 

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Learning from the Hindsight Plan -- Episodic MPC Improvement


Mar 20, 2017
Aviv Tamar, Garrett Thomas, Tianhao Zhang, Sergey Levine, Pieter Abbeel

* Additional experiments for neural network generalization and for varying the planning horizon. Paper accepted to ICRA 2017 

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Value Iteration Networks


Mar 20, 2017
Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, Pieter Abbeel

* Advances in Neural Information Processing Systems 29 pages 2154--2162, 2016 
* Fixed missing table values 

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