AI Learns to Park Deep Reinforcement Learning

An AI learns to park a car in a parking lot in a 3D physics simulation. The simulation was implemented using Unity s MLAgents framework The AI consists of a deep Neural Network with 3 hidden layers of 128 neurons each. It is trained with the Proximal Policy Optimization (PPO) algorithm, which is a Reinforcement Learning approach. Basically, the input of the Neural Network are the readings of eight depth sensors, the cars current speed and position, as well as its re