Self Training Autonomous Driving Agent

Understand

Intrinsically, driving is a Markov Decision Process which suits well the reinforcement learning paradigm.

• In this paper, we propose a novel agent which learns to drive a vehicle without any human assistance.
• We use the concept of reinforcement learning and evolutionary strategies to train our agent in a 2D simulation environment.
• Our model's architecture goes beyond the World Model's by introducing difference images in the auto encoder.