P
PaperPicks
Conferences
Researchers
Sponsors ♥
Chenjun Xiao
12 papers at tracked venues · 11 at CORE A* · active 2024–2026
DBLP profile ↗
ORCID search ↗
Venues
ICML
×5
NeurIPS
×3
AAAI
×2
AAMAS
×1
ACL
×1
Frequent coauthors
Jianye Hao
×4
Bo Dai
×3
Chen-Xiao Gao
×2
Hongming Zhang
×2
Chao Gao
×2
Bo Xu
×2
Martin Müller
×2
Dong Li
×2
Yi Ma
×2
Yan Zheng
×2
Dale Schuurmans
×2
Yangchen Pan
×1
Papers
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint)
BibTeX ⧉
AAAI 2026
·
Yangchen Pan
,
Junfeng Wen
,
Chenjun Xiao
,
Philip Torr
Large Language Model-Enhanced Multi-Armed Bandits
BibTeX ⧉
ACL 2026
·
Jiahang Sun
,
Zhiyong Wang
,
Runhan Yang
,
Chenjun Xiao
,
John C. S. Lui
,
Zhongxiang Dai
Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning
BibTeX ⧉
ICML 2025
·
Chen-Xiao Gao
,
Chenyang Wu
,
Mingjun Cao
,
Chenjun Xiao
,
Yang Yu
,
Zongzhang Zhang
β-DQN: Improving Deep Q-Learning By Evolving the Behavior
BibTeX ⧉
AAMAS 2025
·
Hongming Zhang
,
Fengshuo Bai
,
Chenjun Xiao
,
Chao Gao
,
Bo Xu
,
Martin Müller
Diffusion Spectral Representation for Reinforcement Learning
BibTeX ⧉
NeurIPS 2024
·
Dmitry Shribak
,
Chen-Xiao Gao
,
Yitong Li
,
Chenjun Xiao
,
Bo Dai
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration
BibTeX ⧉
NeurIPS 2024
·
Hongming Zhang
,
Chenjun Xiao
,
Chao Gao
,
Han Wang
,
Bo Xu
,
Martin Müller
HarmonyDream: Task Harmonization Inside World Models
BibTeX ⧉
ICML 2024
·
Haoyu Ma
,
Jialong Wu
,
Ningya Feng
,
Chenjun Xiao
,
Dong Li
,
Jianye Hao
,
Jianmin Wang
,
Mingsheng Long
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
BibTeX ⧉
NeurIPS 2024
·
Yi Ma
,
Jianye Hao
,
Xiaohan Hu
,
Yan Zheng
,
Chenjun Xiao
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces
BibTeX ⧉
AAAI 2024
·
Xiaotian Hao
,
Jianye Hao
,
Chenjun Xiao
,
Kai Li
,
Dong Li
,
Yan Zheng
Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning
BibTeX ⧉
ICML 2024
·
Hongming Zhang
,
Tongzheng Ren
,
Chenjun Xiao
,
Dale Schuurmans
,
Bo Dai
Rethinking Decision Transformer via Hierarchical Reinforcement Learning
BibTeX ⧉
ICML 2024
·
Yi Ma
,
Jianye Hao
,
Hebin Liang
,
Chenjun Xiao
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
BibTeX ⧉
ICML 2024
·
Fengdi Che
,
Chenjun Xiao
,
Jincheng Mei
,
Bo Dai
,
Ramki Gummadi
,
Oscar A. Ramirez
,
Christopher K. Harris
,
A. Rupam Mahmood
,
Dale Schuurmans