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    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.
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