A Double-Agent Neighbor-State Q-learning Algorithm for Dynamic Scheduling Twin-ASCs in ACTs
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论文类型：会议论文
论文编号：373624
发表时间：2023-06-16
发表刊物：ACM International Conference Proceeding Series
页面范围：1 - 7
关键字：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