Real-time multi-resource jointed scheduling of container terminals with uncertainties using a reinforcement learning approach.
Renxin ZhongKexin WenChilin FangEnming LiangPublished in: ASCC (2022)
Keyphrases
- container terminal
- real time
- reinforcement learning
- resource allocation
- quay cranes
- resource constraints
- quay crane
- robotic control
- control system
- scheduling problem
- resource management
- quay crane scheduling
- real time database systems
- real time systems
- learning algorithm
- markov decision processes
- transfer learning
- low cost
- learning process
- resource consumption
- machine learning
- resource usage
- resource availability
- scheduling algorithm
- timing constraints
- model free
- high speed
- special case
- multi agent
- neural network