Automated Speed and Lane Change Decision Making using Deep Reinforcement Learning

14 Mar 2018 Carl-Johan Hoel Krister Wolff Leo Laine

This paper introduces a method, based on deep reinforcement learning, for automatically generating a general purpose decision making function. A Deep Q-Network agent was trained in a simulated environment to handle speed and lane change decisions for a truck-trailer combination... (read more)

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