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• Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities
  2019 · 12 citations
• Epistemic Risk-Sensitive Reinforcement Learning
  2019 · 7 citations
• Bayesian Reinforcement Learning via Deep, Sparse Sampling
  2019 · 4 citations
• SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning
  2021 · 3 citations
• Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning
  2020 · 2 citations
• Randomised Bayesian Least-Squares Policy Iteration
  2019 · 1 citations
• Interactive Inverse Reinforcement Learning for Cooperative Games
  2021 · 1 citations
• Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty
  2022 · 1 citations
• Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
  2023 · 1 citations
• Near-optimal Bayesian Solution For Unknown Discrete Markov Decision Process
  2019
• Minimax-Bayes Reinforcement Learning
  2023