Approximate Dynamic Programming For Dynamic Stochastic Resource Allocation With Applications to Healthcare
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Reinforcement learning optimizes satellite constellation deployment
This paper proposes a reinforcement learning method to optimize the deployment of satellite constellations. The approach models the problem as a Markov Decision Process, accounting for factors like launch failures and s…
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AI framework aims to cut hospital ED boarding times by 70%
Researchers have developed a new framework to reduce emergency department (ED) boarding by proactively requesting inpatient beds. This system uses predictions of patient admission probability and time to disposition to …
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New framework uses AI for geosteering under uncertainty
A new framework integrates particle filtering with reinforcement learning to optimize geosteering decisions under geological uncertainty. This approach uses particle filtering for probabilistic subsurface interpretation…