An efficient and adaptive design of reinforcement learning environment to solve job shop scheduling problem with soft actor-critic algorithm
Jinghua Si, Xinyu Li, Liang Gao and Peigen Li
| Year of publication: |
2024
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| Authors: | Si, Jinghua ; Li, Xinyu ; Gao, Liang ; Li, Peigen |
| Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 62.2024, 23, p. 8260-8275
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| Subject: | environment design | Job shop scheduling | multi-agent architecture | reinforcement learning | soft actor critic | Scheduling-Verfahren | Scheduling problem | Algorithmus | Algorithm | Agentenbasierte Modellierung | Agent-based modeling | Theorie | Theory | Lernen | Learning | Lernprozess | Learning process |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2024.2335663 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015095408