Mean Payoff Optimization for Systems of Periodic Service and Maintenance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00131517" target="_blank" >RIV/00216224:14330/23:00131517 - isvavai.cz</a>
Result on the web
<a href="https://www.ijcai.org/proceedings/2023/598" target="_blank" >https://www.ijcai.org/proceedings/2023/598</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.24963/ijcai.2023/598" target="_blank" >10.24963/ijcai.2023/598</a>
Alternative languages
Result language
angličtina
Original language name
Mean Payoff Optimization for Systems of Periodic Service and Maintenance
Original language description
Consider oriented graph nodes requiring periodic visits by a service agent. The agent moves among the nodes and receives a payoff for each completed service task, depending on the time elapsed since the previous visit to a node. We consider the problem of finding a suitable schedule for the agent to maximize its long-run average payoff per time unit. We show that the problem of constructing an epsilon-optimal schedule is PSPACE-hard for every fixed non-negative epsilon, and that there exists an optimal periodic schedule of exponential length. We propose randomized finite-memory (RFM) schedules as a compact description of the agent's strategies and design an efficient algorithm for constructing RFM schedules. Furthermore, we construct deterministic periodic schedules by sampling from RFM schedules.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA21-24711S" target="_blank" >GA21-24711S: Efficient Analysis and Optimization for Probabilistic Systems and Games</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023,
ISBN
9781956792034
ISSN
1045-0823
e-ISSN
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Number of pages
8
Pages from-to
5386-5393
Publisher name
International Joint Conferences on Artificial Intelligence
Place of publication
Neuveden
Event location
Macao
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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