35 episodes

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, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, and Vector Institute.
Hosted by Robin Ranjit Singh Chauhan. Technical content.

TalkRL: The Reinforcement Learning Podcast Robin Ranjit Singh Chauhan

    • Technology
    • 4.9 • 20 Ratings

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, MIT, DeepMind, Berkeley, Amii, Oxford, Google Research, Brown, Waymo, Caltech, and Vector Institute.
Hosted by Robin Ranjit Singh Chauhan. Technical content.

    Aravind Srinivas 2

    Aravind Srinivas 2

    Aravind Srinivas, Research Scientist at OpenAI, returns to talk Decision Transformer, VideoGPT, choosing problems, and explore vs exploit in research careers

    • 58 min
    Rohin Shah

    Rohin Shah

    DeepMind Research Scientist Dr. Rohin Shah on Value Alignment, Learning from Human feedback, Assistance paradigm, the BASALT MineRL competition, his Alignment Newsletter, and more!

    • 1 hr 37 min
    Jordan Terry

    Jordan Terry

    Jordan Terry on maintaining Gym and PettingZoo, hardware accelerated environments and the future of RL, environment models for multi-agent RL, and more!

    • 1 hr 3 min
    Robert Lange

    Robert Lange

    Robert Lange on learning vs hard-coding, meta-RL, Lottery Tickets and Minimal Task Representations, Action Grammars and more!

    • 1 hr 10 min
    NeurIPS 2021 Political Economy of Reinforcement Learning Systems (PERLS) Workshop

    NeurIPS 2021 Political Economy of Reinforcement Learning Systems (PERLS) Workshop

    Dr. Thomas Gilbert and Dr. Mark Nitzberg on the upcoming PERLS Workshop @ NeurIPS 2021

    • 24 min
    Amy Zhang

    Amy Zhang

    Amy Zhang shares her work on Invariant Causal Prediction for Block MDPs, Multi-Task Reinforcement Learning with Context-based Representations, MBRL-Lib, shares insight on generalization on RL, and more!

    • 1 hr 9 min

Customer Reviews

4.9 out of 5
20 Ratings

20 Ratings

Alcool91 ,

Exposes a wide array of topics

I am a first-year PhD student and I love this podcast. It helps me to be exposed to so many idea and find fellow RL researchers. Thank you Robin for putting this together.

If you are looking for a podcast to help you advance in the field and become a better RL researcher than this is the podcast for you!5

natolambert ,

Unexpected gem to learn deeply about RL

I had the pleasure of finding this podcast as a listener and then being on it within a month or two. Robin does a great job and is here to help improve the experience for the community.

Will help listeners rapidly get up to date with the happenings in reinforcement learning.

Jackson jabba ,

Love the pod cast!

Great to have a podcast that digs into the technical detail of RL!!

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