# Two AI Fight for the same Parking Spot After training a car to park (watch the training here: [https://www.youtube.com/watch?v=VMp6pq6_QjI](https://www.youtube.com/watch?v=VMp6pq6_QjI) [.](https://www.youtube.com/watch?v=VMp6pq6_QjI)), I decided to put another agent into the environment and let them fight for the same parking spot. I thought the result was quite fun to watch, so here is a video of it! 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 relative position to the target.
Zveřejnil(a) Dan Lovy dne Pondělí 23. září 2019
