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researcher

M. Komorowski

3 papers hereh-index 284.6k citations61 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedContinuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

102 citations · 157 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2019★ 9 cited

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…

cs.AI2017★ 46 cited

Deep Reinforcement Learning for Sepsis Treatment

Aniruddh Raghu, Matthieu Komorowski, Imran Ahmed +3

Sepsis is a leading cause of mortality in intensive care units and costs hospitals billions annually. Treating a septic patient is highly challenging, because individual patients r…

cs.LG2017★ 102 cited

Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach

Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi +2

Sepsis is a leading cause of mortality in intensive care units (ICUs) and costs hospitals billions annually. Treating a septic patient is highly challenging, because individual pat…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.