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• Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling
  2019 · 53 citations
• Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning
  2020 · 24 citations
• Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning
  2020 · 24 citations
• Optimal and Adaptive Off-policy Evaluation in Contextual Bandits
  2016 · 20 citations
• Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
  2021 · 18 citations
• Imitation-Regularized Offline Learning
  2019 · 5 citations
• Towards Instance-Optimal Offline Reinforcement Learning with Pessimism
  2021 · 4 citations
• Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
  2022 · 3 citations
• Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings
  2021 · 1 citations
• Offline Stochastic Shortest Path: Learning, Evaluation and Towards Optimality
  2022
• Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
  2022
• Logarithmic Switching Cost in Reinforcement Learning beyond Linear MDPs
  2023
• Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation
  2023