← authors · overview

• The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors
  2019 · 47 citations
• Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods
  2021 · 16 citations
• The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priors
  2021 · 14 citations
• Retrospective Analysis of the 2019 MineRL Competition on Sample Efficient Reinforcement Learning
  2020 · 8 citations
• The MineRL BASALT Competition on Learning from Human Feedback
  2021 · 4 citations
• MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning
  2023 · 3 citations
• Towards robust and domain agnostic reinforcement learning competitions
  2021 · 1 citations
• MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning
  2022 · 1 citations
• Selecting Decision-Relevant Concepts in Reinforcement Learning
  2026
• Planning with Abstract Learned Models While Learning Transferable Subtasks
  2019
• LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning
  2024