TalkRL podcast is All Reinforcement Learning, All the Time.
In-depth interviews with brilliant people at the forefront of RL research and practice.
Guests from places like MILA, OpenAI, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, and Vector Institute.
Hosted by Robin Ranjit Singh Chauhan.
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TalkRL podcast is All Reinforcement Learning, All the Time.
In-depth interviews with brilliant people at the forefront of RL research and practice.
Guests from places like MILA, OpenAI, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, and Vector Institute.
Hosted by Robin Ranjit Singh Chauhan.
Posters and Hallway episodes are short interviews and poster summaries. Recorded at RLC 2024 in Amherst MA.
Featuring:
0:01 Kris De Asis from Openmind on Time Discretization
2:23 Anna Hakhverdyan from U of Alberta on Online Hyperparameters
3:59 Dilip Arumugam from Princeton on Information Theory and Exploration
5:04 Micah Carroll from UC Berkeley on Changing preferences and AI alignment
TalkRL: The Reinforcement Learning Podcast
TalkRL podcast is All Reinforcement Learning, All the Time.
In-depth interviews with brilliant people at the forefront of RL research and practice.
Guests from places like MILA, OpenAI, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, and Vector Institute.
Hosted by Robin Ranjit Singh Chauhan.
