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• Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator
  2017 · 27 citations
• Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
  2019 · 22 citations
• The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint
  2018 · 20 citations
• Observational Overfitting in Reinforcement Learning
  2019 · 17 citations
• From self-tuning regulators to reinforcement learning and back again
  2019 · 16 citations
• Learning from many trajectories
  2022 · 9 citations
• On the Generalization of Representations in Reinforcement Learning
  2022 · 5 citations
• Bootstrapped Representations in Reinforcement Learning
  2023 · 1 citations
• Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
  2026
• Learning Control Barrier Functions from Expert Demonstrations
  2020
• Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning
  2022