TalkRL: The Reinforcement Learning Podcast

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