Zhengyao Jiang

17 papers A* 4A 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AIDE: AI-Driven Exploration in the Space of Code. CoRR Zhengyao Jiang, Dominik Schmidt, Dhruv Srikanth, Dixing Xu, Ian Kaplan, Deniss Jacenko, Yuxiang Wu
2025	J	`jnl`	Multidimensional Directionality-Enhanced Segmentation via large vision model. Medical Image Anal. Xingru Huang, Changpeng Yue, Yihao Guo, Jian Huang, Zhengyao Jiang, Mingkuan Wang, Zhaoyang Xu, Guangyuan Zhang, Jin Liu, Tianyun Zhang, Zhiwen Zheng, Xiaoshuai Zhang, Hong He, Shaowei Jiang, Yaoqi Sun
2024	A*	`conf`	H-GAP: Humanoid Control with a Generalist Planner. ICLR Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
2024	J	`jnl`	Mildly Constrained Evaluation Policy for Offline Reinforcement Learning. Trans. Mach. Learn. Res. Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian
2023	A*	`conf`	Efficient Planning in a Compact Latent Action Space. ICLR Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
2023	J	`jnl`	H-GAP: Humanoid Control with a Generalist Planner. CoRR Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktäschel, Yuandong Tian
2023	J	`jnl`	Mildly Constrained Evaluation Policy for Offline Reinforcement Learning. CoRR Linjie Xu, Zhengyao Jiang, Jinyu Wang, Lei Song, Jiang Bian
2023	A*	`conf`	Optimal Transport for Offline Imitation Learning. ICLR Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth
2023	J	`jnl`	Optimal Transport for Offline Imitation Learning. CoRR Yicheng Luo, Zhengyao Jiang, Samuel Cohen, Edward Grefenstette, Marc Peter Deisenroth
2022	J	`jnl`	Efficient Planning in a Compact Latent Action Space. CoRR Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian
2022	J	`jnl`	Graph Backup: Data Efficient Backup Exploiting Markovian Transitions. CoRR Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette
2021	A	`conf`	Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. AAMAS Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
2021	J	`jnl`	Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. CoRR Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
2019	A*	`conf`	Neural Logic Reinforcement Learning. ICML Zhengyao Jiang, Shan Luo
2019	J	`jnl`	Neural Logic Reinforcement Learning. CoRR Zhengyao Jiang, Shan Luo
2017	J	`jnl`	A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem. CoRR Zhengyao Jiang, Dixing Xu, Jinjun Liang
2016	J	`jnl`	Cryptocurrency Portfolio Management with Deep Reinforcement Learning. CoRR Zhengyao Jiang, Jinjun Liang