Zhengyao Jiang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Function Approximation

Reinforcement Learning

Neighborhood Graph

Top Venues

Publications

Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024)
Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
H-GAP: Humanoid Control with a Generalist Planner. ICLR (2024)
Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning. CoRR (2023)
Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth
Optimal Transport for Offline Imitation Learning. CoRR (2023)
Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth
Optimal Transport for Offline Imitation Learning. ICLR (2023)
Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
Efficient Planning in a Compact Latent Action Space. ICLR (2023)
Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
H-GAP: Humanoid Control with a Generalist Planner. CoRR (2023)
Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
Efficient Planning in a Compact Latent Action Space. CoRR (2022)
Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. CoRR (2022)
Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. AAMAS (2021)
Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. CoRR (2021)
Zhengyao Jiang, Shan Luo
Neural Logic Reinforcement Learning. CoRR (2019)
Zhengyao Jiang, Shan Luo
Neural Logic Reinforcement Learning. ICML (2019)
Zhengyao Jiang, Dixing Xu, Jinjun Liang
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. CoRR (2017)
Zhengyao Jiang, Jinjun Liang
Cryptocurrency Portfolio Management with Deep Reinforcement Learning. CoRR (2016)