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• Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise
  2020 · 26 citations
• On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning
  2021 · 5 citations
• From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
  2022 · 3 citations
• Proximal Point Nash Learning from Human Feedback
  2025
• UVIP: Model-Free Approach to Evaluate Reinforcement Learning Algorithms
  2021
• Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
  2022
• Fast Rates for Maximum Entropy Exploration
  2023
• Generative Flow Networks as Entropy-Regularized RL
  2023
• Demonstration-Regularized RL
  2023
• Model-free Posterior Sampling via Learning Rate Randomization
  2023