Deep reinforcement learning approach for autonomous driving

Abstract

The paper describes a control system for an autonomous driving car. Control systems are based on deep neural networks. Due to the impossibility of preliminary formation of a high-quality training sample for problems, the use of reinforcement learning is considered. Possible variants of the modeling environment implementation are described.