Results 81 to 90 of about 38,584 (203)

Method for control of technical objects operation process with the use of semi - Markov decision processes [PDF]

open access: yes, 2012
In this article there is presented a description of a method for control of the operation process in a complex operation system of technical objects operation where semi-Markov decision processes are used for control.
Migawa, K.
core  

Tariff-Sensitive Global Supply Chains: Semi-Markov Decision Approach with Reinforcement Learning

open access: yesSystems
Global supply chains often face uncertainties in production lead times, fluctuating exchange rates, and varying tariff regulations, all of which can significantly impact total profit.
Duygu Yilmaz Eroglu
doaj   +1 more source

State Clustering in Markov Decisions Processes with an Application in Information Sharing [PDF]

open access: yes, 2005
This research examines state clustering in Markov Decision processes, specifically addressing the problem referred to as Markov Decision process with restricted observations. The general problem is a special case of a Partially Observable Markov Decision
Berrings Davis, Lauren Marie
core  

Reinforcement learning-based active thermal management for sustainable electric-vehicle battery packs

open access: yesResults in Engineering
The rapid emergence of electric vehicles (EVs) emphasizes the importance of the adequate thermal control of lithium-ion battery systems to guarantee their safety, prolong their service life, and improve the energy efficiency.
Md. Mottahir Alam   +7 more
doaj   +1 more source

Motion Planning-Augmented Hierarchical Reinforcement Learning for Long-Horizon Mobile Manipulation

open access: yesSensors
Long-horizon mobile manipulation requires a robot to execute a sequence of heterogeneous subtasks such as navigation, picking, and articulated-object manipulation in indoor environments.
Hyungtai Kim, Mun-Taek Choi
doaj   +1 more source

Electric Bus Charging Schedules Relying on Real Data-Driven Targets Based on Hierarchical Deep Reinforcement Learning

open access: yesIEEE Access
The charging scheduling problem of Electric Buses (EBs) is investigated based on Deep Reinforcement Learning (DRL). A Markov Decision Process (MDP) is conceived, where the time horizon includes multiple charging and operating periods in a day, while each
Jiaju Qi   +3 more
doaj   +1 more source

Enhancing sustainability through reliability optimization of interconnected pump and water supply systems using a semi-Markov model

open access: yesScientific Reports
Ensuring the reliability of critical infrastructure systems is essential for industrial and agricultural sustainability. This study focuses on analyzing the reliability of two interconnected systems: a centrifugal pumping system, comprising an impeller ...
Yogita Rani   +2 more
doaj   +1 more source

Participant Selection for Efficient and Trusted Federated Learning in Blockchain-Assisted Hierarchical Federated Learning Architectures

open access: yesFuture Internet
Federated learning has attracted widespread attention due to its strong capabilities of privacy protection, making it a powerful supporting technology for addressing data silos in the future.
Peng Liu, Lili Jia, Yang Xiao
doaj   +1 more source

Risk Minimizing Strategies for Revenue Management Problems with Target Values [PDF]

open access: yes, 2009
Consider a risk-averse decision maker in the setting of a single-leg dynamic revenue management problem. Instead on focusing on maximizing the expected revenue, the decision maker has the main objective of minimizing the risk of failing to achieve a ...
Meissner, J, Koenig, M
core  

A stopping rule for discounted Markov decision processes with finite action sets [PDF]

open access: yes, 2009
summary:In a Discounted Markov Decision Process (DMDP) with finite action sets the Value Iteration Algorithm, under suitable conditions, leads to an optimal policy in a finite number of steps.
Lemus-Rodríguez, Enrique   +2 more
core  

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