Jiang, Zhengyao

9 publications

ICLR 2024 H-GAP: Humanoid Control with a Generalist Planner Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian

TMLR 2024 Mildly Constrained Evaluation Policy for Offline Reinforcement Learning Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian

ICLR 2023 Efficient Planning in a Compact Latent Action Space Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian

NeurIPSW 2023 H-GAP: Humanoid Control with a Generalist Planner Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian

ICLR 2023 Optimal Transport for Offline Imitation Learning Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth

NeurIPSW 2022 Efficient Planning in a Compact Latent Action Space Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian

NeurIPSW 2022 Optimal Transport for Offline Imitation Learning Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth

NeurIPSW 2021 Graph Backup: Data Efficient Backup Exploiting Markovian Data Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette

ICML 2019 Neural Logic Reinforcement Learning Zhengyao Jiang, Shan Luo