Application of reinforcement learning and deep learning in multiple-input and multiple-output (MIMO) systems
The current wireless communication infrastructure has to face exponential development in
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
mobile traffic size, which demands high data rate, reliability, and low latency. MIMO systems …
An ai-empowered infrastructure for risk prevention during medical examination
A medical examination at Nuclear Medicine Department (NMD) carries out at multiple
stages. Patients are accompanied and guided by nurses during their movements within the …
stages. Patients are accompanied and guided by nurses during their movements within the …
Learning and assessing optimal dynamic treatment regimes through cooperative imitation learning
Dynamic Treatment Regimes (DTRs) are sets of sequential decision rules that can be
adapted over time to treat patients with a specific pathology. DTR consists of alternative …
adapted over time to treat patients with a specific pathology. DTR consists of alternative …
Projection based inverse reinforcement learning for the analysis of dynamic treatment regimes
Abstract Dynamic Treatment Regimes (DTRs) are adaptive treatment strategies that allow
clinicians to personalize dynamically the treatment for each patient based on their step-by …
clinicians to personalize dynamically the treatment for each patient based on their step-by …