TalkRL: Reinforcement Learning Interviews

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