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• Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization
  2020 · 41 citations
• Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
  2020 · 29 citations
• Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis
  2021 · 18 citations
• Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence
  2021 · 8 citations
• Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity
  2022 · 8 citations
• Softmax Policy Gradient Methods Can Take Exponential Time to Converge
  2021 · 7 citations
• Settling the Sample Complexity of Model-Based Offline Reinforcement Learning
  2022 · 7 citations
• Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
  2020 · 5 citations
• Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting