Parking a car using Reinforcement Learning and Unity
Absztrakt
This report documents the steps on how to teach a Reinforcement learning agent to park a car automatically. This project was made within the Unity software. Some parts of the Unity environemnt have been created with the computer graphics software Blender. The project started by designing the environment, creating the agent, training it and finally interpreting the results. The report demonstrates how the learning process for this agent is, the obstacles encountered and to overcome them. The report also discusses briefly the similarities and differences between Reinforcement Learning and Machine Learning.
Leírás
Kulcsszavak
Reinforcement learning, Unity, Machine Learning, Blender