Autonomous Parking Simulation using Unity Game Engine and Reinforcement Learning

Abstract

A well-thought-out strategy was followed in order to achieve the project's stated objective, which is to use Reinforcement learning and Unity game engine to create an autonomous parking simulation. This strategy started with a discussion of various artificial intelligence (AI) subsets and their methods, followed by a detailed discussion of reinforcement learning, Unity game engine, and ML-Agents. Finally, we created a simulation using Unity game engine that included a parking lot as “the environment” and a car as “the agent”, and then we used reinforcement learning and ML-Agents to train the car to park autonomously