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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
