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A Faster-Than Relation for Semi-Markov Decision Processes [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2020
When modeling concurrent or cyber-physical systems, non-functional requirements such as time are important to consider. In order to improve the timing aspects of a model, it is necessary to have some notion of what it means for a process to be faster ...
Mathias Ruggaard Pedersen   +2 more
doaj   +10 more sources

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

open access: yesFrontiers 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   +2 more
doaj   +2 more sources

Continuous-Observation Partially Observable Semi-Markov Decision Processes for Machine Maintenance [PDF]

open access: yesIEEE Transactions on Reliability, 2017
Partially observable semi-Markov decision processes (POSMDPs) provide a rich framework for planning under both state transition uncertainty and observation uncertainty. In this paper, we widen the literature on POSMDP by studying discrete-state, discrete-action yet continuous-observation POSMDPs.
Zhang, Mimi, Revie, Matthew
openaire   +6 more sources

Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions [PDF]

open access: yes, 2015
The focus of this paper is on solving multi-robot planning problems in continuous spaces with partial observability. Decentralized partially observable Markov decision processes (Dec-POMDPs) are general models for multi-robot coordination problems, but ...
Agha-mohammadi, Ali-akbar   +3 more
core   +7 more sources

The Matter of Decision-Making Control Over Operation Processes of Marine Power Plant Systems with the Use of their Models in the form of Semi-Markov Decision-Making Processes

open access: yesPolish Maritime Research, 2021
The article presents the possibility to control the real operation process of an arbitrary device installed in the marine power plant based on the four-state semi-Markov process, being the model of the process, which describes the transition process of ...
Girtler Jerzy, Rudnicki Jacek
doaj   +1 more source

Some work and some play: microscopic and macroscopic approaches to labor and leisure. [PDF]

open access: yesPLoS Computational Biology, 2014
Given the option, humans and other animals elect to distribute their time between work and leisure, rather than choosing all of one and none of the other.
Ritwik K Niyogi   +2 more
doaj   +1 more source

Application of Generator-Electric Motor System for Emergency Propulsion of a Vessel in the Event of Loss of the Full Serviceability of the Diesel Main Engine

open access: yesEnergies, 2022
Oil tanker disasters have been a cause of major environmental disasters, with multi-generational impacts. One of the greatest hazards is damage to the propulsion system that causes the ship to turn sideways to a wave and lose stability, which in storm ...
Zbigniew Łosiewicz   +4 more
doaj   +1 more source

Application of the Pareto front for risk control in the transport system [PDF]

open access: yesMATEC Web of Conferences, 2019
The article describes the developed model of controlling the process of means of transport operation, in which the choice of control strategy is carried out using non-deterministic methods.
Sołtysiak Agnieszka, Migawa Klaudiusz
doaj   +1 more source

Fast Two-Stage Computation of an Index Policy for Multi-Armed Bandits with Setup Delays

open access: yesMathematics, 2020
We consider the multi-armed bandit problem with penalties for switching that include setup delays and costs, extending the former results of the author for the special case with no switching delays.
José Niño-Mora
doaj   +1 more source

Hierarchical dialogue optimization using semi-Markov decision processes [PDF]

open access: yesInterspeech 2007, 2007
This paper addresses the problem of dialogue optimization on large search spaces. For such a purpose, in this paper we propose to learn dialogue strategies using multiple Semi-Markov Decision Processes and hierarchical reinforcement learning. This approach factorizes state variables and actions in order to learn a hierarchy of policies. Our experiments
Cuayáhuitl, Heriberto   +3 more
openaire   +2 more sources

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