Simulating self-driving cars using Reinforcement learning

Despite the recent breakthroughs in AI and extraordinary efforts of many auto-making companies, fully autonomous cars are still out of reach except for some trial programs. Engineers and AI scientist have been developing prototypes to make self-driving more efficient and to outperform humans. Driving is one of the most complicated activities when it comes to teaching an AI agent. In order to teach the car to self-drive, a simulator can be a reliable option, which is a synthetic environment that can imitate the real world. Before employing an AI algorithm to a real car, the algorithms can be tested and developed in a simulated environment. In this post, I will briefly discuss some of the simulated environments which I have created using Unity-3D in order to train the cars to become self-driving prototypes. <a href="https://medium.com/analytics-vidhya/simulating-self-driving-ai-race-using-unity-ml-2ac314f67980">Website</a>