LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract). - Chenyang Wu 001; Rui Kong; Guoyu Yang; Xianghan Kong; Zongzhang Zhang; Yang Yu 001; Dong Li 007; Wulong Liu (AAAI, 2021)

Adaptive Online Packing-guided Search for POMDPs. - Chenyang Wu 001; Guoyu Yang; Zongzhang Zhang; Yang Yu 001; Dong Li 016; Wulong Liu; Jianye Hao (NeurIPS, 2021)

Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning. - Chenyang Wu 001; Tianci Li; Zongzhang Zhang; Yang Yu 001 (NeurIPS, 2022)

ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. - Chenxiao Gao; Chenyang Wu 001; Mingjun Cao; Rui Kong; Zongzhang Zhang; Yang Yu 001 (AAAI, 2024)

Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract). - Rui Kong; Chenyang Wu 001; Zongzhang Zhang (AAAI, 2024)

Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization. - Rui Kong; Chenyang Wu 001; Chen-Xiao Gao; Zongzhang Zhang; Ming Li 005 (IJCAI, 2024)

Reinforced In-Context Black-Box Optimization. - Lei Song; Chenxiao Gao; Ke Xue 001; Chenyang Wu 001; Dong Li 016; Jianye Hao; Zongzhang Zhang; Chao Qian 001 (CoRR, 2024)

Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning. - Chen-Xiao Gao; Chenyang Wu 001; Mingjun Cao; Chenjun Xiao; Yang Yu 001; Zongzhang Zhang (CoRR, 2025)