An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents
Marta Monaci, Valerio Agasucci, Giorgio Grani
| Year of publication: |
2024
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|---|---|
| Authors: | Monaci, Marta ; Agasucci, Valerio ; Grani, Giorgio |
| Published in: |
European journal of operational research : EJOR. - Amsterdam [u.a.] : Elsevier, ISSN 0377-2217, ZDB-ID 1501061-2. - Vol. 312.2024, 3 (1.2.), p. 910-926
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| Subject: | Machine learning | Neural networks | Reinforcement learning | Scheduling | Scheduling-Verfahren | Scheduling problem | Neuronale Netze | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Algorithmus | Algorithm | Lernprozess | Learning process | Agentenbasierte Modellierung | Agent-based modeling |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ejor.2023.07.037 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014456446