Adaptive Decision-Making for Automated Vehicles Under Roundabout Scenarios Using Optimization Embedded Reinforcement Learning.
Yuxiang ZhangBingzhao GaoLulu GuoHongyan GuoHong ChenPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- reinforcement learning
- decision making
- action selection
- function approximation
- optimization algorithm
- semi automated
- fully automated
- decision makers
- real time
- optimization problems
- data driven
- temporal difference
- multi agent
- markov decision processes
- global optimization
- supply chain
- optimization process
- influence diagrams
- embedded systems
- optimization methods
- autonomous vehicles
- learning process
- decision support
- decision support system
- state space
- fuzzy logic
- vehicle tracking
- vehicle detection
- learning capabilities
- actor critic
- model free
- optimization model
- constrained optimization
- optimal control
- optimization method
- data mining
- real world