A Reinforcement Learning Approach for Integrated Scheduling in Automated Container Terminals

Computer Science

• Reinforcement Learning 100%
• Learning Approach 100%
• Global Information 50%
• Good Performance 50%
• Generalization Ability 50%
• Local Information 50%
• Scheduling Problem 50%
• Meta -Heuristic Algorithm 50%
• Metaheuristic Algorithm 50%