Zhengyao Jiang

According to our database, Zhengyao Jiang authored at least 9 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

CoRR, 2023

Mildly Constrained Evaluation Policy for Offline Reinforcement Learning.

Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian

CoRR, 2023

Optimal Transport for Offline Imitation Learning.

Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Planning in a Compact Latent Action Space.

Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Graph Backup: Data Efficient Backup Exploiting Markovian Transitions.

Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette

CoRR, 2022

2021

Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning.

Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2019

Neural Logic Reinforcement Learning.

Zhengyao Jiang, Shan Luo

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.

Zhengyao Jiang, Dixing Xu, Jinjun Liang

CoRR, 2017

2016

Cryptocurrency Portfolio Management with Deep Reinforcement Learning.

Zhengyao Jiang, Jinjun Liang

CoRR, 2016