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Deep Reinforcement Learning framework for Autonomous Driving
2017
IS&T International Symposium on Electronic Imaging Science and Technology
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
doi:10.2352/issn.2470-1173.2017.19.avm-023
fatcat:oarg7sq2pvay3a25i3ee43qina