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• Learning Unknown Markov Decision Processes: A Thompson Sampling Approach
  2017 · 52 citations
• Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
  2019 · 19 citations
• Online Learning for Unknown Partially Observable MDPs
  2021 · 7 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
• Designing Interpretable Approximations to Deep Reinforcement Learning
  2020 · 1 citations
• A Novel Point-based Algorithm for Multi-agent Control Using the Common Information Approach
  2023 · 1 citations
• Randomized Policy Learning for Continuous State and Action MDPs
  2020
• A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent
  2021
• Conditional Kernel Imitation Learning for Continuous State Environments
  2023
• Efficient Online Learning with Offline Datasets for Infinite Horizon MDPs: A Bayesian Approach
  2023