TalkRL: The Reinforcement Learning Podcast14 Aug

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

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(74)

Danijar Hafner on Dreamer v4

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 LillicrapO...

10 Nov 20251h 40min

David Abel on the Science of Agency @ RLDM 2025

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 foundati...

8 Sep 202559min

Jake Beck, Alex Goldie, & Cornelius Braun on Sutton's OaK, Metalearning, LLMs, Squirrels @ RLC 2025

Recorded at Reinforcement Learning Conference 2025 at University of Alberta, Edmonton Alberta Canada.Featured ReferencesLecture on the Oak Architecture, Rich SuttonAlberta Plan, Rich Sutton with Mike ...

19 Aug 202512min

Outstanding Paper Award Winners - 2/2 @ RLC 2025

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 Can...

18 Aug 202514min

Outstanding Paper Award Winners - 1/2 @ RLC 2025

15 Aug 20256min

Thomas Akam on Model-based RL in the Brain

Prof Thomas Akam is a Neuroscientist at the Oxford University Department of Experimental Psychology. He is a Wellcome Career Development Fellow and Associate Professor at the University of Oxford, an...

4 Aug 202552min

Stefano Albrecht on Multi-Agent RL @ RLDM 2025

Stefano V. Albrecht was previously Associate Professor at the University of Edinburgh, and is currently serving as Director of AI at startup Deepflow. He is a Program Chair of RLDM 2025 and is co-auth...

22 Juli 202531min