All Episodes
TalkRL: The Reinforcement Learning Podcast — 74 episodes
Joseph Modayil of Openmind Research Institute @ RLC 2025
Danijar Hafner on Dreamer v4
David Abel on the Science of Agency @ RLDM 2025
Jake Beck, Alex Goldie, & Cornelius Braun on Sutton's OaK, Metalearning, LLMs, Squirrels @ RLC 2025
Outstanding Paper Award Winners - 2/2 @ RLC 2025
Outstanding Paper Award Winners - 1/2 @ RLC 2025
Thomas Akam on Model-based RL in the Brain
Stefano Albrecht on Multi-Agent RL @ RLDM 2025
Satinder Singh: The Origin Story of RLDM @ RLDM 2025
NeurIPS 2024 - Posters and Hallways 3
NeurIPS 2024 - Posters and Hallways 2
NeurIPS 2024 - Posters and Hallways 1
Abhishek Naik on Continuing RL & Average Reward
Neurips 2024 RL meetup Hot takes: What sucks about RL?
RLC 2024 - Posters and Hallways 5
RLC 2024 - Posters and Hallways 4
RLC 2024 - Posters and Hallways 3
RLC 2024 - Posters and Hallways 2
RLC 2024 - Posters and Hallways 1
Finale Doshi-Velez on RL for Healthcare @ RCL 2024
David Silver 2 - Discussion after Keynote @ RCL 2024
David Silver @ RCL 2024
Vincent Moens on TorchRL
Arash Ahmadian on Rethinking RLHF
Glen Berseth on RL Conference
Ian Osband
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
Sven Mika
Karol Hausman and Fei Xia
Sai Krishna Gottipati
Aravind Srinivas 2
Rohin Shah
Robert Lange
NeurIPS 2021 Political Economy of Reinforcement Learning Systems (PERLS) Workshop
Amy Zhang
Xianyuan Zhan
Eugene Vinitsky
Jess Whittlestone
Aleksandra Faust
Sam Ritter
Thomas Krendl Gilbert
Marc G. Bellemare
Robert Osazuwa Ness
Marlos C. Machado
Nathan Lambert
Kai Arulkumaran
Michael Dennis
Roman Ring
Shimon Whiteson
Aravind Srinivas
Taylor Killian
Nan Jiang
Danijar Hafner
Csaba Szepesvari
Ben Eysenbach
NeurIPS 2019 Deep RL Workshop
Scott Fujimoto
Jessica Hamrick
Pablo Samuel Castro
Kamyar Azizzadenesheli
Antonin Raffin and Ashley Hill
Michael Littman
Natasha Jaques
About TalkRL Podcast: All Reinforcement Learning, All the Time