A Deep Reinforcement Learning Approach to High-speed Train Timetable Rescheduling under Disturbances.
Lingbin NingYidong LiMin ZhouHaifeng SongHairong DongPublished in: ITSC (2019)
Keyphrases
- high speed train
- reinforcement learning
- function approximation
- markov decision processes
- power system
- reinforcement learning algorithms
- state space
- learning algorithm
- model free
- machine learning
- multi agent
- optimal policy
- timetabling problem
- action selection
- temporal difference
- virtual world
- neural network
- genetic algorithm ga
- genetic algorithm