Driving Decision and Control for Automated Lane Change Behavior based on Deep Reinforcement Learning.
Tianyu ShiPin WangXuxin ChengChing-Yao ChanDing HuangPublished in: ITSC (2019)
Keyphrases
- reinforcement learning
- robot control
- control problems
- optimal control
- decision making
- control strategies
- fully automated
- markov decision processes
- decision makers
- control system
- robotic control
- optimal policy
- control policy
- semi automated
- state space
- control method
- function approximation
- action selection
- human operators
- control architecture
- control strategy
- data sets
- autonomous robots
- dynamic programming
- robotic systems
- multi agent
- lane change
- decision problems