Getting Started: Environment Setup
Welcome to MLVisual! This section will guide you through setting up your complete development environment for Reinforcement Learning. You'll need to install and configure:
- Unity 2022.3 LTS: For simulation environment development (Proto Labs)
- Python 3.8+: For RL agent implementation (RL Labs)
- Virtual Environments: For managing Python dependencies in isolation
- mlvlab: Our library for connecting Unity with Python
📄️ Installation Guide - Windows
Complete MLVisual setup on Windows 10/11 with Unity Hub and Python.
📄️ Installation Guide - macOS
Complete MLVisual setup on macOS using Homebrew and Unity Hub.
📄️ Installation Guide - Linux
Complete MLVisual setup on Ubuntu and Debian-based distributions.
💻 Installation Guides by Operating System
Select your operating system for detailed installation instructions:
Windows
Install Unity, Python and mlvlab on your Windows system.
macOS
Install Unity, Python and mlvlab on your macOS system.
Linux
Install Unity, Python and mlvlab on your Linux system.
💡 Additional Tips
- Verify versions: Make sure you install the recommended versions of Unity and Python
- Virtual environments: Always use virtual environments for your Python projects
- mlvlab: Our library is key for communication between Unity and Python
Once you've completed the installation, you'll be ready to dive into our Labs!