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• ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning
  2020 · 11 citations
• Risk-Aware Transfer in Reinforcement Learning using Successor Features
  2021 · 9 citations
• Learning to Follow Instructions in Text-Based Games
  2022 · 2 citations
• Contextual Policy Transfer in Reinforcement Learning Domains via Deep Mixtures-of-Experts
  2020 · 1 citations
• Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens
  2025
• Reward Potentials for Planning with Learned Neural Network Transition Models
  2019
• RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation
  2021
• Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization
  2022
• Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization