Kai Li

Venues

Frequent coauthors

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. Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement
   ICML 2025 ·

   Yuheng Jing

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6. Dynamic Discounted Counterfactual Regret Minimization
   ICLR 2024 ·

   Hang Xu

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7. Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance
   NeurIPS 2024 ·

   Jinmin He

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8. Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent
   IJCAI 2024 ·

   Hang Xu

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9. Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces
   AAAI 2024 ·

   Xiaotian Hao

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10. Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
    AAAI 2024 ·

    Jinmin He

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11. Opponent Modeling with In-context Search
    NeurIPS 2024 ·

    Yuheng Jing

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12. Selection Strategy Based on Proper Pareto Optimality in Evolutionary Multi-objective Optimization
    PPSN 2024 · Kai Li
13. Towards Offline Opponent Modeling with In-context Learning
    ICLR 2024 ·

    Yuheng Jing

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