Step-by-Step Guide to Install ML Agents Release 20 in 2023

Table of Contents

• 🛠️ Installing Required Tools
  • How to Get Visual Studio Code, Anaconda, and Unity Hub
• 📥 Downloading ML Agents Release 20
  • Cloning the Repository
  • Installing Git
• 🛠 Setting Up the Environment
  • Creating a Virtual Environment
  • Installing Torch and ML Agents
  • Installing Cuda 11.8
• 🏗️ Configuring and Verifying ML Agents
  • Installing Protobuf
  • Running Example in Unity
  • Running Pushblock Example
  • testing the Trained Neural Network

🛠️ Installing Required Tools Today, we will guide you through the process of installing ML Agents Release 20. First and foremost, there are a couple of things you'll need to have in place. This includes Visual Studio Code, Anaconda, Unity Hub, and an installation of Unity. If you're missing any of these prerequisites, don't worry, we have you covered with detailed resources in our previous videos. Once you have everything installed, we can dive into the installation process.

📥 Downloading ML Agents Release 20 Before getting started with the installation process, we need to clone the ML Agents repository. This involves navigating to the ML Agents repository and finding the current release, which in this case is Release 20. After locating the release, we clone the repository, allowing us to move forward with the installation.

🛠 Setting Up the Environment Once the repository is cloned, the next steps involve setting up the environment. This includes creating a virtual environment, installing Torch and ML Agents, and ensuring that Cuda 11.8 is installed.

🏗️ Configuring and Verifying ML Agents After the initial setup is complete, we move on to configuring and verifying ML Agents. This includes installing Protobuf, running examples in Unity, and testing the trained neural networks. This comprehensive guide will assist you in successfully installing and testing ML Agents Release 20 for your projects.