Wu, Chenyang

9 publications

ICML 2025 Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, Chenjun Xiao, Yang Yu, Zongzhang Zhang

TMLR 2025 On Representing Convex Quadratically Constrained Quadratic Programs via Graph Neural Networks Chenyang Wu, Qian Chen, Akang Wang, Tian Ding, Ruoyu Sun, Wenguo Yang, Qingjiang Shi

IJCAI 2025 Reinforced In-Context Black-Box Optimization Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian

AAAI 2024 ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu

IJCAI 2024 Efficient and Stable Offline-to-Online Reinforcement Learning via Continual Policy Revitalization Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li

AAAI 2024 Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract) Rui Kong, Chenyang Wu, Zongzhang Zhang

NeurIPS 2022 Bayesian Optimistic Optimization: Optimistic Exploration for Model-Based Reinforcement Learning Chenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu

NeurIPS 2021 Adaptive Online Packing-Guided Search for POMDPs Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao

AAAI 2021 LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) Chenyang Wu, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu