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Haobo Fu

17 papers at tracked venues · 14 at CORE A* · active 2024–2026

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Venues

ICLR ×5AAAI ×3ICML ×3NeurIPS ×3UAI ×2IJCAI ×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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Chen Qiu
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Haitong Ma
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Xinyue Zheng
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Xu Liu
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Canzhe Zhao
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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. Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games
    UAI 2025 ·
    Chen Qiu
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  5. Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
    ICML 2025 ·
    Jinmin He
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  6. Learning Preferences without Interaction for Cooperative AI: A Hybrid Offline-Online Approach
    NeurIPS 2025 ·
    Haitong Ma
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  7. MCU: An Evaluation Framework for Open-Ended Game Agents
    ICML 2025 ·
    Xinyue Zheng
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  8. Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement
    ICML 2025 ·
    Yuheng Jing
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  9. Online-to-Offline RL for Agent Alignment
    ICLR 2025 ·
    Xu Liu
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  10. Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation
    UAI 2025 ·
    Canzhe Zhao
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  11. Dynamic Discounted Counterfactual Regret Minimization
    ICLR 2024 ·
    Hang Xu
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  12. Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance
    NeurIPS 2024 ·
    Jinmin He
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  13. Maximum Entropy Heterogeneous-Agent Reinforcement Learning
    ICLR 2024 ·
    Jiarong Liu
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  14. Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent
    IJCAI 2024 ·
    Hang Xu
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  15. Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
    AAAI 2024 ·
    Jinmin He
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  16. Opponent Modeling with In-context Search
    NeurIPS 2024 ·
    Yuheng Jing
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  17. Towards Offline Opponent Modeling with In-context Learning
    ICLR 2024 ·
    Yuheng Jing
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