Project is running, still needs improvement, need to adjust parameters, refactor, and restructure. It was suppose to be a quick experiment that went out of control.
Agents placed into an enviroment containing goals. Each agent is controlled by a neural network optimized using the particle swarm optimization algorithm. Training commences everytime an agent breaks the record of most rewards gained.
This project uses Webpack and Babel. To run the project, Yarn dev, or yarn build.