• RLC 2024 - Posters and Hallways 2

  • 2024/09/16
  • 再生時間： 16 分
  • ポッドキャスト

RLC 2024 - Posters and Hallways 2

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  • Posters and Hallway episodes are short interviews and poster summaries. Recorded at RLC 2024 in Amherst MA.

    Featuring:

    • 0:01 Hector Kohler from Centre Inria de l'Université de Lille with "Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning"
    • 2:29 Quentin Delfosse from TU Darmstadt on "Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents"
    • 4:15 Sonja Johnson-Yu from Harvard on "Understanding biological active sensing behaviors by interpreting learned artificial agent policies"
    • 6:42 Jannis Blüml from TU Darmstadt on "OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments"
    • 8:20 Cameron Allen from UC Berkeley on "Resolving Partial Observability in Decision Processes via the Lambda Discrepancy"
    • 9:48 James Staley from Tufts on "Agent-Centric Human Demonstrations Train World Models"
    • 14:54 Jonathan Li from Rensselaer Polytechnic Institute


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あらすじ・解説

Posters and Hallway episodes are short interviews and poster summaries. Recorded at RLC 2024 in Amherst MA.

Featuring:

  • 0:01 Hector Kohler from Centre Inria de l'Université de Lille with "Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning"
  • 2:29 Quentin Delfosse from TU Darmstadt on "Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents"
  • 4:15 Sonja Johnson-Yu from Harvard on "Understanding biological active sensing behaviors by interpreting learned artificial agent policies"
  • 6:42 Jannis Blüml from TU Darmstadt on "OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments"
  • 8:20 Cameron Allen from UC Berkeley on "Resolving Partial Observability in Decision Processes via the Lambda Discrepancy"
  • 9:48 James Staley from Tufts on "Agent-Centric Human Demonstrations Train World Models"
  • 14:54 Jonathan Li from Rensselaer Polytechnic Institute


続きを読む 一部表示

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