Results 91 to 100 of about 255,462 (259)
A Promising Approach to Optimizing Sequential Treatment Decisions for Depression: Markov Decision Process. [PDF]
Pharmacoeconomics, 2022 Li F, Jörg F, Li X, Feenstra T.
europepmc +1 more source
Comparing Labelled Markov Decision Processes
, 2020 35 pages, 7 ...
Kiefer, Stefan, Tang, Qiyi
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Advanced Intelligent Systems, EarlyView.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
International Journal of Prognostics and Health Management, 2015 After an incipient fault mode has been detected a logical question to ask is: How long can the system continue to be operated before the incipient fault mode degrades to a failure condition?
Brian Bole +2 more
doaj +1 more source
Author Correction: Improving RED algorithm congestion control by using the Markov decision process. [PDF]
Sci Rep, 2022 Mahawish A, Hassan HJ.
europepmc +1 more source
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
Advanced Intelligent Systems, EarlyView.We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
Markov Decision Processes [PDF]
Journal of the Royal Statistical Society. Series A (Statistics in Society), 1994 J. Q. Smith, D. J. White
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Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)
Advanced Intelligent Systems, EarlyView.This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley +1 more source
Modeling eye movement in dynamic interactive tasks for maximizing situation awareness based on Markov decision process. [PDF]
Sci Rep, 2022 Ma S, Guo J, Zeng S, Che H, Pan X.
europepmc +1 more source
OPTIMAL POLICIES FOR DISCRETE TIME RISK PROCESSES WITH A MARKOV CHAIN INVESTMENT MODEL [PDF]
We consider a discrete risk process modelled by a Markov Decision Process. The surplus could be invested in stock market assets. We adopt a realistic point of view and we let the investment return process to be statistically dependent over time.
Maikol Diasparra, Rosario Romera
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