A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers

@article{Wang2018ARL,
  title={A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers},
  author={Pin Wang and Ching-yao Chan and Arnaud de La Fortelle},
  journal={2018 IEEE Intelligent Vehicles Symposium (IV)},
  year={2018},
  pages={1379-1384}
}
Lane change is a crucial vehicle maneuver which needs coordination with surrounding vehicles. [] Key Method Particularly, we treated both state space and action space as continuous, and designed a Q-function approximator that has a closed-form greedy policy, which contributes to the computation efficiency of our deep Q-learning algorithm. Extensive simulations are conducted for training the algorithm, and the results illustrate that the Reinforcement Learning based vehicle agent is capable of learning a…
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Background Citations
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