Tian Lan

Venues

Frequent coauthors

Papers

1. Reason in Chains, Learn in Trees: Self-Rectification and Grafting for Multi-turn Agent Policy Optimization
   ACL 2026 ·

   Yu Li

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2. Learning to Collaborate with Unknown Agents in the Absence of Reward
   AAAI 2025 ·

   Zuyuan Zhang

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3. MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning
   NeurIPS 2025 ·

   Sizhe Tang

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4. Rack Position Optimization in Large-Scale Heterogeneous Data Centers
   ICAPS 2025 ·

   Chang-Lin Chen

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5. Variational Offline Multi-agent Skill Discovery
   IJCAI 2025 ·

   Jiayu Chen

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6. Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
   ICLR 2024 ·

   Yongsheng Mei

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7. ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
   AAAI 2024 ·

   Huiqun Li

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8. Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning
   AAMAS 2024 ·

   Yongsheng Mei

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9. RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
   AAAI 2024 ·

   Jingdi Chen

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10. RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
    NeurIPS 2024 ·

    Jingdi Chen

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