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• Sample-Optimal Parametric Q-Learning Using Linearly Additive Features
  2019 · 95 citations
• Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
  2019 · 95 citations
• Model-Based Reinforcement Learning with Value-Targeted Regression
  2020 · 71 citations
• Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal
  2019 · 33 citations
• On Reward-Free Reinforcement Learning with Linear Function Approximation
  2020 · 33 citations
• Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension
  2020 · 30 citations
• Variance Reduction Methods for Sublinear Reinforcement Learning
  2018 · 24 citations
• Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
  2020 · 24 citations
• Is Long Horizon Reinforcement Learning More Difficult Than Short Horizon Reinforcement Learning?