PPaperPicks

Chenjun Xiao

12 papers at tracked venues · 11 at CORE A* · active 2024–2026

Venues

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

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