9 citations · 9 across the 1 of their papers we have counts for
3 papers
Optimizing Medical Treatment for Sepsis in Intensive Care: from Reinforcement Learning to Pre-Trial Evaluation
Luchen Li, Ignacio Albert-Smet, Aldo A. Faisal
Our aim is to establish a framework where reinforcement learning (RL) of optimizing interventions retrospectively allows us a regulatory compliant pathway to prospective clinical t…
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs
Luchen Li, Matthieu Komorowski, Aldo A. Faisal
Health-related data is noisy and stochastic in implying the true physiological states of patients, limiting information contained in single-moment observations for sequential clini…
The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making
Luchen Li, Matthieu Komorowski, Aldo A. Faisal
Off-policy reinforcement learning enables near-optimal policy from suboptimal experience, thereby provisions opportunity for artificial intelligence applications in healthcare. Pre…