Chenyang Wu

11 papers A* 8Journal 3
YearRankTypeTitle / Venue / Authors
2025 A* conf
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning.
ICML
Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, Chenjun Xiao, Yang Yu, Zongzhang Zhang
2025 J jnl
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning.
CoRR
Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, Chenjun Xiao, Yang Yu, Zongzhang Zhang
2025 A* conf
Reinforced In-Context Black-Box Optimization.
IJCAI
Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
2024 A* conf
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning.
AAAI
Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu
2024 A* conf
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization.
IJCAI
Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li
2024 A* conf
Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract).
AAAI
Rui Kong, Chenyang Wu, Zongzhang Zhang
2024 J jnl
Reinforced In-Context Black-Box Optimization.
CoRR
Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
2023 J jnl
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning.
CoRR
Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu
2022 A* conf
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning.
NeurIPS
Chenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu
2021 A* conf
Adaptive Online Packing-guided Search for POMDPs.
NeurIPS
Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao
2021 A* conf
LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract).
AAAI
Chenyang Wu, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu