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A Double-Agent Neighbor-State Q-learning Algorithm for Dynamic Scheduling Twin-ASCs in ACTs

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Date of Publication:2024-05-25

Journal:ACM International Conference Proceeding Series

Page Number:1-7

Key Words:ASC scheduling; Automated container terminals; Automated stacking cranes; Automation; Containers; Container transportation; Double agents; Dynamic scheduling; Dynamic scheduling problems; Learning algorithms; Markov decision process models; Markov processes; Port terminals; Q-learning algorithms; Railroad yards and terminals; Reinforcement learnings; Scheduling algorithms; Software agents

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