| # Background |
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| This section provides foundational knowledge to help you understand the technologies and concepts that power the ML-Agents Toolkit. |
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| | **Topic** | **Description** | |
| |-----------------------------------------------------------|-------------------------------------------------------------------------------| |
| | [Machine Learning](Background-Machine-Learning.md) | Introduction to ML concepts, reinforcement learning, and training principles. | |
| | [Unity](Background-Unity.md) | Unity fundamentals for ML-Agents development and environment creation. | |
| | [PyTorch](Background-PyTorch.md) | PyTorch basics for understanding the training pipeline and neural networks. | |
| | [Using Virtual Environment](Using-Virtual-Environment.md) | Setting up and managing Python virtual environments for ML-Agents. | |
| | [ELO Rating System](ELO-Rating-System.md) | Understanding ELO rating system for multi-agent training evaluation. | |
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