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Qiang Fu

15 papers at tracked venues · 13 at CORE A* · active 2024–2026

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Venues

ICLR ×5AAAI ×3ICML ×3NeurIPS ×2IJCAI ×1UAI ×1

Frequent coauthors

Haobo Fu
×14
Kai Li
×11
Junliang Xing
×11
Jian Cheng
×10
Bingyun Liu
×5
Yifan Zang
×5
Yuheng Jing
×4
Hang Xu
×3
Jinmin He
×3
Weiming Liu
×2
Hanlin Yang
×1
Jian Yao
×1

Papers

  1. Deep (Predictive) Discounted Counterfactual Regret Minimization
    AAAI 2026 ·
    Hang Xu
    ,
    Kai Li
    ,
    Haobo Fu
    , Qiang Fu,
    Junliang Xing
    ,
    Jian Cheng
  2. An Open-Ended Learning Framework for Opponent Modeling
    AAAI 2025 ·
    Yuheng Jing
    ,
    Kai Li
    ,
    Bingyun Liu
    ,
    Haobo Fu
    , Qiang Fu,
    Junliang Xing
    ,
    Jian Cheng
  3. Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
    ICLR 2025 ·
    Hanlin Yang
    ,
    Jian Yao
    ,
    Weiming Liu
    ,
    Qing Wang
    ,
    Hanmin Qin
    ,
    Hansheng Kong
    ,
    Kirk Tang
    ,
    Jiechao Xiong
    ,
    Chao Yu
    ,
    Kai Li
    ,
    Junliang Xing
    ,
    Hongwu Chen
    ,
    Juchao Zhuo
    , Qiang Fu,
    Yang Wei
    ,
    Haobo Fu
  4. Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
    ICML 2025 ·
    Jinmin He
    ,
    Kai Li
    ,
    Yifan Zang
    ,
    Haobo Fu
    , Qiang Fu,
    Junliang Xing
    ,
    Jian Cheng
  5. MCU: An Evaluation Framework for Open-Ended Game Agents
    ICML 2025 ·
    Xinyue Zheng
    ,
    Haowei Lin
    ,
    Kaichen He
    ,
    Zihao Wang
    , Qiang Fu,
    Haobo Fu
    ,
    Zilong Zheng
    ,
    Yitao Liang
  6. Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement
    ICML 2025 ·
    Yuheng Jing
    ,
    Kai Li
    ,
    Bingyun Liu
    ,
    Ziwen Zhang
    ,
    Haobo Fu
    , Qiang Fu,
    Junliang Xing
    ,
    Jian Cheng
  7. Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation
    UAI 2025 ·
    Canzhe Zhao
    ,
    Shuze Chen
    ,
    Weiming Liu
    ,
    Haobo Fu
    , Qiang Fu,
    Shuai Li
  8. Dynamic Discounted Counterfactual Regret Minimization
    ICLR 2024 ·
    Hang Xu
    ,
    Kai Li
    ,
    Haobo Fu
    , Qiang Fu,
    Junliang Xing
    ,
    Jian Cheng
  9. Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance
    NeurIPS 2024 ·
    Jinmin He
    ,
    Kai Li
    ,
    Yifan Zang
    ,
    Haobo Fu
    , Qiang Fu,
    Junliang Xing
    ,
    Jian Cheng
  10. Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
    ICLR 2024 ·
    Yiming Gao
    ,
    Feiyu Liu
    ,
    Liang Wang
    ,
    Dehua Zheng
    ,
    Zhenjie Lian
    ,
    Weixuan Wang
    ,
    Wenjin Yang
    ,
    Siqin Li
    ,
    Xianliang Wang
    ,
    Wenhui Chen
    ,
    Jing Dai
    , Qiang Fu,
    Wei Yang
    ,
    Lanxiao Huang
    ,
    Wei Liu
  11. Maximum Entropy Heterogeneous-Agent Reinforcement Learning
    ICLR 2024 ·
    Jiarong Liu
    ,
    Yifan Zhong
    ,
    Siyi Hu
    ,
    Haobo Fu
    , Qiang Fu,
    Xiaojun Chang
    ,
    Yaodong Yang
  12. Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent
    IJCAI 2024 ·
    Hang Xu
    ,
    Kai Li
    ,
    Bingyun Liu
    ,
    Haobo Fu
    , Qiang Fu,
    Junliang Xing
    ,
    Jian Cheng
  13. Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
    AAAI 2024 ·
    Jinmin He
    ,
    Kai Li
    ,
    Yifan Zang
    ,
    Haobo Fu
    , Qiang Fu,
    Junliang Xing
    ,
    Jian Cheng
  14. Opponent Modeling with In-context Search
    NeurIPS 2024 ·
    Yuheng Jing
    ,
    Bingyun Liu
    ,
    Kai Li
    ,
    Yifan Zang
    ,
    Haobo Fu
    , Qiang Fu,
    Junliang Xing
    ,
    Jian Cheng
  15. Towards Offline Opponent Modeling with In-context Learning
    ICLR 2024 ·
    Yuheng Jing
    ,
    Kai Li
    ,
    Bingyun Liu
    ,
    Yifan Zang
    ,
    Haobo Fu
    , Qiang Fu,
    Junliang Xing
    ,
    Jian Cheng