Thomas, Garrett

6 publications

CoRL 2023 PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining Garrett Thomas, Ching-An Cheng, Ricky Loynd, Felipe Vieira Frujeri, Vibhav Vineet, Mihai Jalobeanu, Andrey Kolobov
NeurIPS 2021 Safe Reinforcement Learning by Imagining the near Future Garrett Thomas, Yuping Luo, Tengyu Ma
NeurIPS 2020 MOPO: Model-Based Offline Policy Optimization Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Y Zou, Sergey Levine, Chelsea Finn, Tengyu Ma
NeurIPS 2020 Model-Based Adversarial Meta-Reinforcement Learning Zichuan Lin, Garrett Thomas, Guangwen Yang, Tengyu Ma
IJCAI 2017 Value Iteration Networks Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, Pieter Abbeel
NeurIPS 2016 Value Iteration Networks Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, Pieter Abbeel