Application of Reinforcement Learning to Study of Autonomous Driving for Lane Changing
In the process of vehicle driving,the vehicle's hardware equipment is guaranteed under the premise that the wrong behavioral decision is the main causative factor of traffic accidents.Reinforcement learning is able to continuously interact and adjust with the environment,has good generalization ability,and is suitable for com-plex lane-changing decision-making scenarios.Firstly,a brief introduction to the automatic driving system and lane-changing decision-making is given;secondly,the principle of reinforcement learning and its representative algorithms are introduced,and the application of reinforcement learning in lane-changing decision-making system is summarized;finally,based on the existing problems,an outlook is given to the application of reinforcement learning in automatic driving lane-changing decision-making.
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