Thomas Frost on Clinical RL with Natural Timings
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
Thomas Frost, Steve Harris — PhysioNet, 2026 (RRID:SCR_007345)
The Hidden Risks of Temporal Resampling in Clinical Reinforcement Learning
Thomas Frost, Hrisheekesh Vaidya, Steve Harris — arXiv preprint, 2026
Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning
Thomas Frost, Steve Harris — arXiv preprint, 2026
Additional References
- The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care — Komorowski et al. 2018
- Off by a beat: the effects of temporal misalignment in reinforcement learning for sepsis treatment — Tang et al. 2026
- Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment — Zhang et al. 2021
- Where do doctors disagree? Characterizing Decision Points for Safe Reinforcement Learning in Choosing Vasopressor Treatment — Brown et al. 2025
- Loss of plasticity in deep continual learning — Dohare et al. 2024
Creators and Guests
Host
Robin Ranjit Singh Chauhan
🌱 Head of Eng @AgFunder 🧠 AI:Reinforcement Learning/ML/DL/NLP🎙️Host @TalkRLPodcast 💳 ex-@Microsoft ecomm PgmMgr 🤖 @UWaterloo CompEng 🇨🇦 🇮🇳
