Readme.md

Unity ML-Agents Documentation

Getting Started

• ML-Agents Overview
  • Background: Unity
  • Background: Machine Learning
  • Background: TensorFlow
• Installation & Set-up
  • Background: Jupyter Notebooks
  • Docker Set-up
• Getting Started with the 3D Balance Ball Environment
• Example Environments

Creating Learning Environments

• Making a New Learning Environment
• Designing a Learning Environment
  • Agents
  • Academy
  • Brains: Player, Heuristic, Internal & External
• Learning Environment Best Practices
• Using the Monitor
• TensorFlowSharp in Unity (Experimental)

Training

• Training ML-Agents
• Training with Proximal Policy Optimization
• Training with Curriculum Learning
• Training with Imitation Learning
• Training with LSTM
• Training on the Cloud with Amazon Web Services
• Using TensorBoard to Observe Training

Help

• Migrating to ML-Agents v0.3
• ML-Agents Glossary
• Limitations & Common Issues

API Docs

• API Reference
• How to use the Python API