Case Study on Gap Selection for Automated Vehicles Based on Deep Q-Learning.
Matthias NichtingThomas LobigFrank KösterPublished in: ICAICST (2021)
Keyphrases
- case study
- learning algorithm
- reinforcement learning
- cooperative
- real time
- state space
- multi agent
- stochastic approximation
- software development
- semi automated
- model free
- learning rate
- development process
- lessons learned
- dynamic programming
- reinforcement learning methods
- traffic accidents
- bucket brigade
- deep learning
- automated analysis
- fully automated
- selection algorithm
- function approximation
- decision making