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• Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
  2019 · 19 citations
• Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach
  2021 · 17 citations
• Online Reinforcement Learning in Stochastic Games
  2017 · 7 citations
• Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
  2022 · 7 citations
• Analyzing the Variance of Policy Gradient Estimators for the Linear-Quadratic Regulator
  2019 · 5 citations
• Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
  2020 · 5 citations
• A Model Selection Approach for Corruption Robust Reinforcement Learning
  2021 · 4 citations
• A Model-free Learning Algorithm for Infinite-horizon Average-reward MDPs with Near-optimal Regret
  2020 · 3 citations
• Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs