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• Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
  2022 · 4 citations
• Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency
  2023 · 1 citations
• A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
  2023 · 1 citations
• Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability
  2026
• Near-Optimal Regret for KL-Regularized Multi-Armed Bandits
  2026
• Towards a Sharp Analysis of Offline Policy Learning for $f$-Divergence-Regularized Contextual Bandits
  2025
• Logarithmic Regret for Online KL-Regularized Reinforcement Learning
  2025
• Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
  2023
• Sharp Analysis for KL-Regularized Contextual Bandits and RLHF
  2024