Deep Reinforcement Learning framework for Autonomous Driving

@article{Sallab2017DeepRL,
  title={Deep Reinforcement Learning framework for Autonomous Driving},
  author={Ahmad El Sallab and Mohammed Abdou and Etienne Perot and Senthil Yogamani},
  journal={CoRR},
  year={2017},
  volume={abs/1704.02532}
}
Reinforcement learning is considered to be a strong AI paradigm which can be used to teach machines through interaction with the environment and learning from their mistakes. Despite its perceived utility, it has not yet been successfully applied in automotive applications. Motivated by the successful demonstrations of learning of Atari games and Go by Google DeepMind, we propose a framework for autonomous driving using deep reinforcement learning. This is of particular relevance as it is… CONTINUE READING
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