TalkRL: The Reinforcement Learning Podcast

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.

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Avsnitt(74)

RLC 2024 - Posters and Hallways 3

RLC 2024 - Posters and Hallways 3

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 ...

18 Sep 20246min

RLC 2024 - Posters and Hallways 2

RLC 2024 - Posters and Hallways 2

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 "Interpreta...

16 Sep 202415min

RLC 2024 - Posters and Hallways 1

RLC 2024 - Posters and Hallways 1

Posters and Hallway episodes are short interviews and poster summaries.  Recorded at RLC 2024 in Amherst MA.  Featuring:  0:01 Ann Huang from Harvard on Learning Dynamics and the Geometry of Neural Dy...

10 Sep 20245min

Finale Doshi-Velez on RL for Healthcare @ RCL 2024

Finale Doshi-Velez on RL for Healthcare @ RCL 2024

Finale Doshi-Velez is a Professor at the Harvard Paulson School of Engineering and Applied Sciences.  This off-the-cuff interview was recorded at UMass Amherst during the workshop day of RL Conference...

2 Sep 20247min

David Silver 2 - Discussion after Keynote @ RCL 2024

David Silver 2 - Discussion after Keynote @ RCL 2024

Thanks to Professor Silver for permission to record this discussion after his RLC 2024 keynote lecture.   Recorded at UMass Amherst during RCL 2024.Due to the live recording environment, audio quality...

28 Aug 202416min

David Silver @ RCL 2024

David Silver @ RCL 2024

David Silver is a principal research scientist at DeepMind and a professor at University College London.  This interview was recorded at UMass Amherst during RLC 2024.   References  Discovering Reinfo...

26 Aug 202411min

Vincent Moens on TorchRL

Vincent Moens on TorchRL

Dr. Vincent Moens is an Applied Machine Learning Research Scientist at Meta, and an author of TorchRL and TensorDict in pytorch.  Featured References TorchRL: A data-driven decision-making library for...

8 Apr 202440min

Arash Ahmadian on Rethinking RLHF

Arash Ahmadian on Rethinking RLHF

Arash Ahmadian is a Researcher at Cohere and Cohere For AI focussed on Preference Training of large language models. He’s also a researcher at the Vector Institute of AI.Featured ReferenceBack to Basi...

25 Mars 202433min

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