An intelligent control approach for heavy haul trains using deep reinforcement learning.
Wentao LiuShuai SuTao TangPublished in: CASE (2021)
Keyphrases
- reinforcement learning
- optimal control
- control problems
- robot control
- state space
- reinforcement learning algorithms
- robotic control
- feedback control
- control system
- markov decision processes
- learning problems
- action selection
- adaptive control
- model free
- closed loop
- autonomous robots
- function approximation
- neural network
- optimal policy
- bayesian networks
- knowledge base
- e learning
- learning algorithm