PROJECT’S GOAL
Using Reinforcement Learning to perform social laws learning in multi agents environment. These laws will enable the autonomous cars to cross intersections without accidents.
UNITY AND ML-AGENTS
We used Unity to model our environment and to rum simulations. In addition, we used ml-agents tool which trains intelligent agents with Reinforcement Learning via a simple method API. The ml-agnets connects the simulation environment to the learning algorithm