Multiagent Q-Learning Approach for the Recharging Scheduling of Electric Automated Guided Vehicles in Container Terminals.
Chenhao ZhouAloisius StephenKok Choon TanEk Peng ChewLoo Hay LeePublished in: Transp. Sci. (2024)
Keyphrases
- container terminal
- multi agent
- cooperative
- quay cranes
- reinforcement learning
- quay crane scheduling
- quay crane
- multiagent systems
- multiagent learning
- intelligent agents
- single agent
- semi automated
- multiple agents
- state space
- learning algorithm
- function approximation
- learning rate
- fully automated
- stochastic approximation
- power generation
- agent communication
- scheduling algorithm
- multi agent reinforcement learning
- scheduling problem
- optimal solution