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@inproceedings{2304579,
author = {Klaška, David and Kučera, Antonín and Musil, Vít and Řehák, Vojtěch},
address = {Neuveden},
booktitle = {Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023,},
doi = {http://dx.doi.org/10.24963/ijcai.2023/598},
editor = {Edith Elkind},
keywords = {Periodic Maintenance; strategy synthesis},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Neuveden},
isbn = {978-1-956792-03-4},
pages = {5386-5393},
publisher = {International Joint Conferences on Artificial Intelligence},
title = {Mean Payoff Optimization for Systems of Periodic Service and Maintenance},
url = {https://www.ijcai.org/proceedings/2023/598},
year = {2023}
}
TY - JOUR
ID - 2304579
AU - Klaška, David - Kučera, Antonín - Musil, Vít - Řehák, Vojtěch
PY - 2023
TI - Mean Payoff Optimization for Systems of Periodic Service and Maintenance
PB - International Joint Conferences on Artificial Intelligence
CY - Neuveden
SN - 9781956792034
KW - Periodic Maintenance
KW - strategy synthesis
UR - https://www.ijcai.org/proceedings/2023/598
N2 - 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.
ER -
KLAŠKA, David, Antonín KUČERA, Vít MUSIL and Vojtěch ŘEHÁK. Mean Payoff Optimization for Systems of Periodic Service and Maintenance. Online. In Edith Elkind. \textit{Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023,}. Neuveden: International Joint Conferences on Artificial Intelligence, 2023, p.~5386-5393. ISBN~978-1-956792-03-4. Available from: https://dx.doi.org/10.24963/ijcai.2023/598.
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