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We investigate the feasibility of deploying Deep-Q based deep reinforcement learning agents to job-shop scheduling problems in the context of modular production facilities, using discrete event simulations for the environment. These environments are
Externí odkaz:
http://arxiv.org/abs/2205.03294
Autor:
Aichernig, Bernhard K., Auer, Jakob, Jöbstl, Elisabeth, Korošec, Robert, Krenn, Willibald, Schlick, Rupert, Schmidt, Birgit Vera
Publikováno v:
Tests & Proofs: 8th International Conference, TAP 2014, Held as Part of STAF 2014, York, UK, July 24-25, 2014. Proceedings; 2014, p1-19, 19p