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• Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation
  2020 · 12 citations
• Q-learning with Uniformly Bounded Variance: Large Discounting is Not a Barrier to Fast Learning
  2020 · 9 citations
• The ODE Method for Asymptotic Statistics in Stochastic Approximation and Reinforcement Learning
  2021 · 9 citations
• Convex Q-Learning, Part 1: Deterministic Optimal Control
  2020 · 4 citations
• Model-Free Characterizations of the Hamilton-Jacobi-Bellman Equation and Convex Q-Learning in Continuous Time
  2022 · 3 citations
• Stability of Q-Learning Through Design and Optimism
  2023 · 2 citations
• Convex Q Learning in a Stochastic Environment: Extended Version
  2023 · 2 citations
• Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation
  2020
• Sufficient Exploration for Convex Q-learning
  2022