An intelligent train control approach based on the monte carlo reinforcement learning algorithm.
Wentao LiuTao TangShuai SuYuan CaoFeng BaoJianguo GaoPublished in: ITSC (2018)
Keyphrases
- monte carlo
- monte carlo simulation
- markov chain
- monte carlo methods
- stochastic approximation
- importance sampling
- adaptive sampling
- monte carlo tree search
- monte carlo method
- control system
- markovian decision
- matrix inversion
- markov chain monte carlo
- simulation study
- particle filter
- temporal difference
- optimal strategy
- control problems
- fuzzy logic controller
- variance reduction
- kalman filter
- active learning