Value Iteration Networks. - Aviv Tamar; Sergey Levine; Pieter Abbeel; Yi Wu 013; Garrett Thomas (NIPS, 2016)

Learning from the hindsight plan - Episodic MPC improvement. - Aviv Tamar; Garrett Thomas; Tianhao Zhang 001; Sergey Levine; Pieter Abbeel (ICRA, 2017)

Learning Robotic Assembly from CAD. - Garrett Thomas; Melissa Chien; Aviv Tamar; Juan Aparicio Ojea; Pieter Abbeel (ICRA, 2018)

A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning. - Nicholas C. Landolfi; Garrett Thomas; Tengyu Ma 001 (CoRR, 2019)

Model-based Adversarial Meta-Reinforcement Learning. - Zichuan Lin; Garrett Thomas; Guangwen Yang; Tengyu Ma 001 (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 001 (NeurIPS, 2020)

Safe Reinforcement Learning by Imagining the Near Future. - Garrett Thomas; Yuping Luo; Tengyu Ma 001 (NeurIPS, 2021)

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 (CoRL, 2023)

PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining. - Garrett Thomas; Ching-An Cheng; Ricky Loynd; Vibhav Vineet; Mihai Jalobeanu; Andrey Kolobov (CoRR, 2023)