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• Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
  2020 · 15 citations
• Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
  2021 · 14 citations
• Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
  2020 · 10 citations
• Bootstrapping Fitted Q-Evaluation for Off-Policy Inference
  2021 · 10 citations
• Learning Good State and Action Representations via Tensor Decomposition
  2021 · 4 citations
• Optimal policy evaluation using kernel-based temporal difference methods
  2021 · 4 citations
• Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism
  2022 · 3 citations
• On the optimization dynamics of RLVR: Gradient gap and step size thresholds
  2025
• Don't Waste Mistakes: Leveraging Negative RL-Groups via Confidence Reweighting
  2025
• Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces
  2024