A Reinforcement Learning Approach for Integrated Scheduling in Automated Container Terminals.
Zhanluo ZhangZilong ZhuangWei QinHuaijin FangShulin LanChen YangYu TianPublished in: IEEM (2022)
Keyphrases
- container terminal
- reinforcement learning
- quay cranes
- quay crane
- quay crane scheduling
- semi automated
- learning algorithm
- dynamic programming
- state space
- supervised learning
- reinforcement learning algorithms
- fully automated
- function approximation
- resource allocation
- automated analysis
- neural network
- learning tasks
- transfer learning
- real time
- action selection
- optimal policy
- scheduling problem
- learning process
- case study
- machine learning