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Journal Articles
- 2024
[j1]Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian:
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning. Trans. Mach. Learn. Res. 2024 (2024)
Conference and Workshop Papers
- 2024
- [c5]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 - 2023
- [c4]Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian:
Efficient Planning in a Compact Latent Action Space. ICLR 2023 - [c3]Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth:
Optimal Transport for Offline Imitation Learning. ICLR 2023 - 2021
- [c2]Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel:
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. AAMAS 2021: 674-682 - 2019
- [c1]Zhengyao Jiang, Shan Luo:
Neural Logic Reinforcement Learning. ICML 2019: 3110-3119
Informal and Other Publications
- 2023
- [i9]Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth:
Optimal Transport for Offline Imitation Learning. CoRR abs/2303.13971 (2023) - [i8]Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian:
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning. CoRR abs/2306.03680 (2023) - [i7]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 abs/2312.02682 (2023) - 2022
- [i6]Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette:
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. CoRR abs/2205.15824 (2022) - [i5]Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian:
Efficient Planning in a Compact Latent Action Space. CoRR abs/2208.10291 (2022) - 2021
- [i4]Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel:
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. CoRR abs/2102.04220 (2021) - 2019
- [i3]Zhengyao Jiang, Shan Luo:
Neural Logic Reinforcement Learning. CoRR abs/1904.10729 (2019) - 2017
- [i2]Zhengyao Jiang, Dixing Xu, Jinjun Liang:
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. CoRR abs/1706.10059 (2017) - 2016
- [i1]Zhengyao Jiang, Jinjun Liang:
Cryptocurrency Portfolio Management with Deep Reinforcement Learning. CoRR abs/1612.01277 (2016)
Coauthor Index
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