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• Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
  2022 · 5 citations
• Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
  2021 · 4 citations
• Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL
  2024 · 4 citations
• First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach
  2021 · 3 citations
• Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design
  2022 · 3 citations
• Leveraging Offline Data in Online Reinforcement Learning
  2022 · 3 citations
• Task-Optimal Exploration in Linear Dynamical Systems
  2021 · 1 citations
• Optimal Exploration for Model-Based RL in Nonlinear Systems
  2023 · 1 citations
• Steering Your Diffusion Policy with Latent Space Reinforcement Learning
  2025
• Instance-Optimality in Interactive Decision Making: Toward a Non-Asymptotic Theory
  2023
• ASID: Active Exploration for System Identification in Robotic Manipulation
  2024
• Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
  2024
• Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification
  2024