
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.
| Publishes | Twice monthly | Episodes | 73 | Founded | 6 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

Danijar Hafner was a Research Scientist at Google DeepMind until recently.
Featured References
Training Agents Inside of Scalable World Models [ blog ]
Danijar Hafner, Wilson Yan, Timothy Lillicrap
One Step Diffusion via Shortcut Models
Kevin... more
David Abel is a Senior Research Scientist at DeepMind on the Agency team, and an Honorary Fellow at the University of Edinburgh. His research blends computer science and philosophy, exploring foundational questions about reinforcement learning, defin... more
Recorded at Reinforcement Learning Conference 2025 at University of Alberta, Edmonton Alberta Canada.
Featured References
Lecture on the Oak Architecture, Rich Sutton
Alberta Plan, Rich Sutton with Mike Bowling and Patrick Pilarski
Additional Ref... more
We caught up with the RLC Outstanding Paper award winners for your listening pleasure.
Recorded on location at Reinforcement Learning Conference 2025, at University of Alberta, in Edmonton Alberta Canada in August 2025.
Featured References
Empir... more
People also subscribe to these shows.




I love this! Great questions and amazing guests. I can’t wait till the next one.
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
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.
Great work Robin!
Love this podcast. Always come away from each episode learning a lot. Thanks for all the great work.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #208 | |
Apple Podcasts | #225 | |
Apple Podcasts | #233 |
Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | |
|---|---|
| Gender Skew | |
| Location | |
| Interests | |
| Professions | |
| Age Range | |
| Household Income | |
| Social Media Reach |
Content centers around in-depth conversations related to reinforcement learning (RL), focusing on insights from leading experts in the field. Topics explored vary from advanced techniques in RL, such as model-based approaches and multi-agent systems, to philosophical discussions surrounding agency and decision-making in AI. Episodes often highlight the latest research developments and practical applications in RL, drawing on the expertise of guests from top academic and corporate institutions like DeepMind, OpenAI, and Google Research. This podcast stands out for its commitment to addressing both theoretical foundations and real-world implications of RL, making it a valuable resource for researchers, practitioners, and students alike.
Rephonic provides a wide range of podcast stats for this podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to this podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for this podcast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for this podcast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers this podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
These podcasts share a similar audience with this podcast:
1. Machine Learning Street Talk (MLST)
2. Dwarkesh Podcast
3. Latent Space: The AI Engineer Podcast
4. Google DeepMind: The Podcast
5. No Priors: Artificial Intelligence | Technology | Startups
this podcast launched 6 years ago and published 73 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for this podcast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of this podcast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.
Recent guests on this podcast include:
1. Danijar Hafner
2. David Abel
3. Thomas Akam
4. Stefano Albrecht
5. Satinder Singh
6. Abhishek Naik
7. Professor Finale Doshi-Velez
8. Dr. Vincent Moens
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.