Shangtong Zhang

Venues

Frequent coauthors

Papers

1. Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise
   AAAI 2026 ·

   Ethan Blaser

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2. Counterfactual Explanations for Continuous Action Reinforcement Learning
   IJCAI 2025 ·

   Shuyang Dong

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3. Doubly Optimal Policy Evaluation for Reinforcement Learning
   ICLR 2025 ·

   Shuze Daniel Liu

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4. Efficient Multi-Policy Evaluation for Reinforcement Learning
   AAAI 2025 ·

   Shuze Daniel Liu

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5. Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning
   ICLR 2025 ·

   Claire Chen

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6. Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features
   NeurIPS 2025 ·

   Zixuan Xie

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7. Linear Q-Learning Does Not Diverge in L2: Convergence Rates to a Bounded Set
   ICML 2025 ·

   Xinyu Liu

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8. Revisiting a Design Choice in Gradient Temporal Difference Learning
   ICLR 2025 ·

   Xiaochi Qian

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9. Towards Provable Emergence of In-Context Reinforcement Learning
   NeurIPS 2025 ·

   Jiuqi Wang

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10. Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning
    ICLR 2025 ·

    Jiuqi Wang

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11. Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design
    ICML 2024 ·

    Shuze Daniel Liu

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