HeyJaredTalkRL: 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.
- Indexed episodes, last 90 days
- 1
- Latest publication
- Aug 14, 2026
- Audience
- Checking…
- Earliest in this view
- Aug 14, 2026
Latest episodes
Thomas Frost on Clinical RL with Natural Timings (opens the original)
Read excerpt
Dr Thomas Frost is an emergency physician based in London, UK. He is also in the final stages of completing a PhD at University College London, where he has been looking at offline reinforcement learning applied to healthcare settings. Featured References Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning Thomas Frost, Kezhi Li, Steve Harris — ML4H Symposium, PMLR 259, 2025 Insulin4RL: Real-Time Insulin Infusions for Offline Reinforcement Learning
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
No verified audience measurement yet.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
Identity or attribution wrong? Suggest a correction.
See coverage about TalkRL: The Reinforcement Learning Podcast