Qian Lin

Venues

Frequent coauthors

Papers

1. Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning
   AAAI 2026 ·

   Shenghong He

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2. Conservative Offline Goal-Conditioned Implicit V-Learning
   ICML 2025 ·

   Kaiqiang Ke

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3. Consistency of Physics-Informed Neural Networks for Second-Order Elliptic Equations
   NeurIPS 2025 ·

   Yuqian Cheng

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4. DynaQuest: A Dynamic Question Answering Dataset Reflecting Real-World Knowledge Updates
   ACL 2025 · Qian Lin
5. Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
   AAAI 2025 ·

   Zongkai Liu

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6. An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
   NeurIPS 2024 · Qian Lin
7. Improving Adaptivity via Over-Parameterization in Sequence Models
   NeurIPS 2024 ·

   Yicheng Li

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8. Off-Policy Primal-Dual Safe Reinforcement Learning
   ICLR 2024 ·

   Zifan Wu

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9. On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory
   NeurIPS 2024 ·

   Guhan Chen

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10. On the Saturation Effects of Spectral Algorithms in Large Dimensions
    NeurIPS 2024 ·

    Weihao Lu

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11. Policy-regularized Offline Multi-objective Reinforcement Learning
    AAMAS 2024 · Qian Lin
12. The optimality of kernel classifiers in Sobolev space
    ICLR 2024 ·

    Jianfa Lai

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