

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.
Episodes


David Silver 2 - Discussion after Keynote @ RCL 2024

David Silver @ RCL 2024

Vincent Moens on TorchRL

Arash Ahmadian on Rethinking RLHF
This podcast episode explores reinforcement learning from human feedback (RLHF) and preference training of large language models (LLMs). The episode discusses the main idea behind the paper "Back to Basics, Revisiting Reinforced Style Optimization for Learning from Human Feedback and LLMs," which aims to convey that op...

Glen Berseth
Ian Osband
This podcast episode explores the importance of uncertainty and exploration in reinforcement learning (RL). It discusses the challenge of bridging the gap between Bayesian and machine learning methods and highlights the potential benefits of combining these approaches. The concept of information-directed sampling is in...
Sharath Chandra Raparthy
Pierluca D'Oro and Martin Klissarov
Martin Riedmiller
Max Schwarzer
Julian Togelius
Jakob Foerster
Danijar Hafner 2
Jeff Clune
Natasha Jaques 2
Jacob Beck and Risto Vuorio
John Schulman
Aravind Srinivas
Follow this podcast in Podwise
Sign in to get AI summaries, transcripts and mind maps for any episode, including new ones.
