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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
• Model selection for contextual bandits
  2019 · 10 citations
• Online Learning for Stochastic Shortest Path Model via Posterior Sampling
  2021 · 6 citations
• Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
  2020 · 5 citations
• A Model-free Learning Algorithm for Infinite-horizon Average-reward MDPs with Near-optimal Regret
  2020 · 3 citations
• Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints
  2022 · 3 citations
• Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
  2021 · 2 citations
• Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback