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Background

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Background

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

TopicDescription
Machine LearningIntroduction to ML concepts, reinforcement learning, and training principles.
UnityUnity fundamentals for ML-Agents development and environment creation.
PyTorchPyTorch basics for understanding the training pipeline and neural networks.
Using Virtual EnvironmentSetting up and managing Python virtual environments for ML-Agents.
ELO Rating SystemUnderstanding ELO rating system for multi-agent training evaluation.