This repository contains example environments for UnrealMLAgents Toolkit, designed to help users understand and implement reinforcement learning (RL) in Unreal Engine. These examples showcase how agents can interact with their environment and learn through trial and error.

To get started with Unreal ML Agents and set up these examples, please refer to the Getting Started Guide in the main documentation:

📖 Unreal ML Agents - Getting Started

For full documentation, including setup, training instructions, and API references, check out:

📚 Unreal ML Agents Documentation

Want to see these examples in action? Check out my YouTube channel:

📺 Alan Laboratory - Unreal ML Agents

This repository is continuously updated with new example environments to demonstrate various reinforcement learning concepts in Unreal Engine. Stay tuned for more updates!