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• Stochastic Variance Reduction Methods for Policy Evaluation
  2017 · 69 citations
• Optimism in Reinforcement Learning with Generalized Linear Function Approximation
  2019 · 54 citations
• On Reward-Free Reinforcement Learning with Linear Function Approximation
  2020 · 33 citations
• Agnostic Q-learning with Function Approximation in Deterministic Systems: Tight Bounds on Approximation Error and Sample Complexity
  2020 · 23 citations
• Is Long Horizon Reinforcement Learning More Difficult Than Short Horizon Reinforcement Learning?
  2020 · 23 citations
• Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?
  2019 · 21 citations
• Bilinear Classes: A Structural Framework for Provable Generalization in RL
  2021 · 21 citations
• $Q$-learning with Logarithmic Regret
  2020 · 16 citations
• Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap