A Deep Reinforcement Learning-Based Approach to Intelligent Powertrain Control for Automated Vehicles.
I-Ming ChenCong ZhaoChing-Yao ChanPublished in: ITSC (2019)
Keyphrases
- process control
- intelligent control
- control system
- reinforcement learning
- real time
- reinforcement learning algorithms
- optimal control
- function approximation
- inverted pendulum
- supervised learning
- markov decision processes
- control strategy
- state space
- multi agent
- control method
- learning algorithm
- machine learning
- autonomous vehicles
- robotic control
- control problems
- control strategies
- travel time
- intelligent systems
- neural network