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A cooperative hierarchical deep reinforcement learning based multi-agent method for distributed job shop scheduling problem with random job arrivals.
Jiang-Ping Huang
Liang Gao
Xinyu Li
Chun-Jiang Zhang
Published in:
Comput. Ind. Eng. (2023)
Keyphrases
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cooperative
multi agent
reinforcement learning
clustering method
similarity measure
cost function
objective function
multi agent systems
dynamic programming
job shop scheduling problem
probabilistic model
combinatorial optimization