TalkRL: The Reinforcement Learning Podcast

著者： 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.
    © 2024 Robin Ranjit Singh Chauhan
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あらすじ・解説

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.
© 2024 Robin Ranjit Singh Chauhan
続きを読む 一部表示
エピソード
  • RLC 2024 - Posters and Hallways 5

    RLC 2024 - Posters and Hallways 5
    2024/09/20

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

    Featuring:

    • 0:01 David Radke of the Chicago Blackhawks NHL on RL for professional sports
    • 0:56 Abhishek Naik from the National Research Council on Continuing RL and Average Reward
    • 2:42 Daphne Cornelisse from NYU on Autonomous Driving and Multi-Agent RL
    • 08:58 Shray Bansal from Georgia Tech on Cognitive Bias for Human AI Ad hoc Teamwork
    • 10:21 Claas Voelcker from University of Toronto on Can we hop in general?
    • 11:23 Brent Venable from The Institute for Human & Machine Cognition on Cooperative information dissemination


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    13 分
  • RLC 2024 - Posters and Hallways 4

    RLC 2024 - Posters and Hallways 4
    2024/09/19

    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
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    5 分
  • RLC 2024 - Posters and Hallways 3

    RLC 2024 - Posters and Hallways 3
    2024/09/18

    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


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    7 分

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