Results 21 to 30 of about 5,928 (266)

Solving Hidden-Semi-Markov-Mode Markov Decision Problems

, 2014
International audienceHidden-Mode Markov Decision Processes (HM-MDPs) were proposed to represent sequential decision-making problems in non-stationary environments that evolve according to a Markov chain.
Hadoux, Emmanuel, Beynier, Aurélie, Weng, Paul   +2 more
core   +2 more sources

Markov Decision Processes with Incomplete Information and Semi-Uniform Feller Transition Probabilities [PDF]

, 2022
This paper deals with control of partially observable discrete-time stochastic systems. It introduces and studies Markov Decision Processes with Incomplete Information and with semi-uniform Feller transition probabilities.
Feinberg, Eugene A., Zgurovsky, Michael Z., Kasyanov, Pavlo O.   +2 more
core   +1 more source

Discounted semi-Markov decision processes : linear programming and policy iteration [PDF]

, 1974
For semi-Markov decision processes with discounted rewards we derive the well known results regarding the structure of optimal strategies (nonrandomized, stationary Markov strategies) and the standard algorithms (linear programming, policy iteration ...
van Nunen, J.A.E.E., Wessels, J.
core   +2 more sources

Learning to maximize reward rate: a model based on semi-Markov decision processes

Frontiers in Neuroscience, 2014
When animals have to make a number of decisions during a limited time interval, they face a fundamental problem: how much time they should spend on each decision in order to achieve the maximum possible total outcome.
Arash eKhodadadi, Pegah eFakhari, jerome eBusemeyer   +2 more
doaj   +1 more source

An Adaptive Scheduling Algorithm Integrating Hierarchical Reinforcement Learning and Semi-Markov Decision Processes

Applied Sciences
Coordinating multiple unmanned aerial vehicle (UAV) systems under strict energy and temporal constraints remains a complex scheduling problem. Existing reinforcement learning methods typically rely on fixed-time-step modeling, which struggles to ...
Feng Wang, Bingwei Ding, Fangchao Tian, Zhaohua Guo, Wenshuo Ma   +4 more
doaj   +1 more source

Method of Building a Model of Operational Changes for the Marine Combustion Engine Describing the Impact of the Damages of This Engine on the Characteristics of Its Operation Process

Polish Maritime Research, 2017
This article deals with the modeling of the processes of operating both marine main and auxiliary engines. The paper presents a model of changes in operating conditions of ship’s internal combustion engine.
Landowski Bogdan, Pająk Michał, Żółtowski Bogdan, Muślewski Łukasz   +3 more
doaj   +1 more source

Bridging the Synchrony Gap: A Deterministic GSMDP Approach for Integrating Deep Reinforcement Learning with Commercial Discrete Event Simulators

Proceedings of the Conference on Production Systems and Logistics
Although Deep Reinforcement Learning (DRL) offers adaptive control for manufacturing processes, training agents within high-fidelity commercial Discrete Event Simulation (DES) tools is hindered by the temporal mismatch between the continuous-time event ...
Varici, Merve Demir, Tercan, Hasan, Meisen, Tobias, Herberger, David, Hübner, Marco   +4 more
doaj   +1 more source

The risk probability optimal problem for infinite discounted semi-Markov decision processes [PDF]

summary:This paper investigates the risk probability minimization problem for infinite horizon semi-Markov decision processes (SMDPs) with varying discount factors.
Wen, Xian, Cui, Jinhua, Huo, Haifeng
core   +1 more source

Post-earthquake performance recovery models for shield tunnels based on semi-Markov processes: development and application

Yantu gongcheng xuebao
To address the complexity and uncertainty inherent in the post-earthquake damage state recovery process of shield tunnels, a method for establishing performance recovery models based on semi-Markov processes is proposed, enabling quantitative assessment ...
ZENG Nianchen 1, HUANG Zhongkai 1, ZHANG Dongmei 1, 2, 3, GAN Binlin 1, 2
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source