ppo

This project merges two of my past project a video game 3d and a ppo deep reinforcement learning algorithm. The objective of the project is:

create an agent capable of playing to the game correctly. allow the game to have an auto-play mode to show the commands and functionality of the user. create a new openAI gym environment that allow also communication with js application. Create an abstract-based class for the ppo, capable of be used for any game just changing state space, observations ad actions.

Multi-agent implementations of Reinforcement Learning algorithm Proximal Policy Optimization.

A very simple example of using RL in real life using servo motors.