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• Near Optimal Behavior via Approximate State Abstraction
  2017 · 111 citations
• Environment-Independent Task Specifications via GLTL
  2017 · 62 citations
• Lipschitz Continuity in Model-based Reinforcement Learning
  2018 · 37 citations
• Deep Reinforcement Learning from Policy-Dependent Human Feedback
  2019 · 31 citations
• An Alternative Softmax Operator for Reinforcement Learning
  2016 · 26 citations
• Successor Features Combine Elements of Model-Free and Model-based Reinforcement Learning
  2019 · 21 citations
• Equivalence Between Wasserstein and Value-Aware Loss for Model-based Reinforcement Learning
  2018 · 9 citations
• Designing Rewards for Fast Learning
  2022 · 8 citations
• Towards a Simple Approach to Multi-step Model-based Reinforcement Learning
  2018 · 6 citations