Results 211 to 220 of about 522,323 (249)

Artificial Intelligence-Driven Neuromodulation in Neurodegenerative Disease: Precision in Chaos, Learning in Loss. [PDF]

Biomedicines
Calderone A, Latella D, La Fauci E, Puleo R, Sergi A, De Francesco M, Mauro M, Foti A, Salemi L, Calabrò RS.   +9 more
europepmc   +1 more source

A Perspective on Software Intelligence for Autonomous Transformations in Biomedical Data and Knowledge. [PDF]

Learn Health Syst
Navale V.
europepmc   +1 more source

EpiControl: a data-driven tool for optimising epidemic interventions and automating scenario planning to support real-time response

Beregi S, Bhatia S, Cori A, Parag KV.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Asymptotic Optimality of Semi-Open-Loop Policies in Markov Decision Processes with Large Lead Times

Operations Research, 2020
A generic way to verify asymptotic optimality of semi-open-loop policies for a wide class of MDPs with large lead times. In many real-life inventory models, order lead times can result in uncertain effects of inventory decisions. However, as the lead time grows large, one would naturally postulate that the effect of the delayed order depends weakly ...
Xingyu Bai, Xin Chen, Menglong Li, Alexander Stolyar   +3 more
semanticscholar   +4 more sources

Optimality of Quasi-Open-Loop Policies for Discounted Semi-Markov Decision Processes

Mathematics of Operations Research, 2016
Quasi-open-loop policies consist of sequences of Markovian decision rules that are insensitive to one component of the state space. Given a semi-Markov decision process (SMDP), we distinguish between exogenous and endogenous state components as follows: (i) the decision-maker’s actions do not impact the evolution of an exogenous state component, and ...
Adelman, Daniel, Mancini, Angelo J.
openaire   +2 more sources

Open-loop policies in Bayesian dynamic pricing: Some counter-intuitive observations and insights

Operations Research Letters, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Li, Wu, Chengyu
openaire   +2 more sources

Optimal Open-Loop Control Policies for a Class of Nonlinear Actuators

2019 18th European Control Conference (ECC), 2019
This paper deals with the design and analysis of open-loop soft-landing control policies for a class of nonlinear actuators. A third-order nonlinear parametric model is firstly presented and the particularities of the systems under study are highlighted.
Edgar Ramirez-Laboreo, Eduardo Moya-Lasheras, Carlos Sagues   +2 more
openaire   +2 more sources

Comparison between Closed-Loop and Partial Open-Loop Feedback Control Policies in Long-Term Hydrothermal Scheduling

IEEE Power Engineering Review, 2002
Stochastic dynamic programming has been extensively used in the optimization of long-term hydrothermal scheduling problems due to its ability to cope with the nonlinear and stochastic characteristics of such problems and the fact that it provides a closed-loop feedback control policy.
L. Martinez, S. Soares
semanticscholar   +3 more sources