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. |