Self-driving scale car trained by Deep reinforcement learning

Understand

The self-driving based on deep reinforcement learning, as the most important application of artificial intelligence, has become a popular topic.

• Most of the current self-driving methods focus on how to directly learn end-to-end self-driving control strategy from the raw sensory data.
• Essentially, this control strategy can be considered as a mapping between images and driving behavior, which usually faces a problem of low generalization ability.
• To improve the generalization ability for the driving behavior, the reinforcement learning method requires extrinsic reward from the real environment, which may damage the car.