Semi-Active Suspension Control Based on Deep Reinforcement Learning.
Ming LiuYibin LiXuewen RongShuaishuai ZhangYanfang YinPublished in: IEEE Access (2020)
Keyphrases
- reinforcement learning
- control problems
- robot control
- active control
- adaptive control
- optimal control
- control system
- function approximation
- robotic control
- reinforcement learning algorithms
- control method
- data acquisition
- control strategy
- action selection
- case study
- control theory
- machine learning
- state space
- learning process
- multi agent
- control strategies
- learning algorithm
- genetic algorithm
- hybrid intelligent
- neural network