Background

This section provides foundational knowledge to help you understand the technologies and concepts that power the ML-Agents Toolkit.

Topic	Description
Machine Learning	Introduction to ML concepts, reinforcement learning, and training principles.
Unity	Unity fundamentals for ML-Agents development and environment creation.
PyTorch	PyTorch basics for understanding the training pipeline and neural networks.
Using Virtual Environment	Setting up and managing Python virtual environments for ML-Agents.
ELO Rating System	Understanding ELO rating system for multi-agent training evaluation.