AutoParkAI
An AI agent that learns to park a vehicle in a vertical parking spot using Reinforcement Learning.
Overview
This project aimed to develop an AI agent capable of learning to park a vehicle in a vertical parking spot using Reinforcement Learning. The agent was trained in a simulated environment using the Proximal Policy Optimization (PPO) algorithm and the Unity ML-Agents toolkit.
Features
- AI Parking Agent: The agent learns to park a vehicle in a vertical parking spot.
- Reinforcement Learning: The agent is trained using the Proximal Policy Optimization (PPO) algorithm.
- Unity ML-Agents: The agent is developed using the Unity ML-Agents toolkit.
Technologies
- Programming Languages: C#
- Libraries: Unity ML-Agents
- Tools: Unity