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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

Yuheng Jing
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Hang Xu
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Jinmin He
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Hanlin Yang
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Xinyue Zheng
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Canzhe Zhao
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Yiming Gao
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Jiarong Liu
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Papers

  1. Deep (Predictive) Discounted Counterfactual Regret Minimization
    AAAI 2026 ·
    Hang Xu
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  2. An Open-Ended Learning Framework for Opponent Modeling
    AAAI 2025 ·
    Yuheng Jing
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  3. Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
    ICLR 2025 ·
    Hanlin Yang
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  4. Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
    ICML 2025 ·
    Jinmin He
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  5. MCU: An Evaluation Framework for Open-Ended Game Agents
    ICML 2025 ·
    Xinyue Zheng
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  6. Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement
    ICML 2025 ·
    Yuheng Jing
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  7. Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation
    UAI 2025 ·
    Canzhe Zhao
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  8. Dynamic Discounted Counterfactual Regret Minimization
    ICLR 2024 ·
    Hang Xu
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  9. Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance
    NeurIPS 2024 ·
    Jinmin He
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  10. Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
    ICLR 2024 ·
    Yiming Gao
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  11. Maximum Entropy Heterogeneous-Agent Reinforcement Learning
    ICLR 2024 ·
    Jiarong Liu
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  12. Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent
    IJCAI 2024 ·
    Hang Xu
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  13. Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
    AAAI 2024 ·
    Jinmin He
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  14. Opponent Modeling with In-context Search
    NeurIPS 2024 ·
    Yuheng Jing
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  15. Towards Offline Opponent Modeling with In-context Learning
    ICLR 2024 ·
    Yuheng Jing
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