A Double-Agent Neighbor-State Q-learning Algorithm for Dynamic Scheduling Twin-ASCs in ACTs
Release Time:2024-06-28 Hits:
Indexed by: Conference Paper
Document Code: 373624
Date of Publication: 2023-06-16
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