Episode 59
RLC 2024 - Posters and Hallways 4
TalkRL: The Reinforcement Learning Podcast
September 19, 20244m 52s
Audio is streamed directly from the publisher (media.transistor.fm) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
Posters and Hallway episodes are short interviews and poster summaries. Recorded at RLC 2024 in Amherst MA.
Featuring:
- 0:01 David Abel from DeepMind on 3 Dogmas of RL
- 0:55 Kevin Wang from Brown on learning variable depth search for MCTS
- 2:17 Ashwin Kumar from Washington University in St Louis on fairness in resource allocation
- 3:36 Prabhat Nagarajan from UAlberta on Value overestimation
Topics
Reinforcement LearningMachine LearningArtificial Intelligence