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1 Ergebnisse
1
Petri Net Modeling and Multi-Agent Dynamic Path Planning fo..:
, In:
2024 36th Chinese Control and Decision Conference (CCDC)
,
Yu, Shaoqi
;
Tian, Yuping
- p. 819-824 , 2024
Link:
https://doi.org/10.1109/CCDC62350.2024.10587721
RT T1 <cTitle>2024 36th Chinese Control and Decision Conference (CCDC)</cTitle>: T1 <Title>Petri Net Modeling and Multi-Agent Dynamic Path Planning for AGV Scheduling System</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10587721&Exemplar=1&LAN=DE A1 Yu, Shaoqi A1 Tian, Yuping YR 2024 SN 1948-9447 K1 Negative feedback K1 Markov decision processes K1 Petri nets K1 Neural networks K1 Software algorithms K1 Transportation K1 Dynamic scheduling K1 Multi-agent deep reinforcement learning K1 AGV path planning K1 Petri Net K1 Deep Deterministic Policy K1 discrete event systems SP 819 OP 824 LK http://dx.doi.org/https://doi.org/10.1109/CCDC62350.2024.10587721 DO https://doi.org/10.1109/CCDC62350.2024.10587721 SF ELIB - SuUB Bremen
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