unity ml-agent deep reinforcement learning
r/MachineLearning - [P] Agent Learns to Park a Car using Unity ML-Agents / Deep Reinforcement Learning (PPO)
Video available here (YouTube): https://youtu.be/VMp6pq6_QjI An AI learns to park a car in a parking lot in a 3D physics simulation. 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. The input of the Neural Network are the readings of eight depth sensors, the cars current speed and position, as well as its relative position to the target. The outputs of the Neural Network are interpreted as engine force, braking force and turning force (continuous values).