Overview
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Unlock the power of Machine Learning AI in Unity with this comprehensive 45-minute tutorial. Learn how to set up ML-Agents, create and train intelligent agents, and implement machine learning in your Unity projects. Begin with an introduction to machine learning and ML-Agents, then dive into the installation process for Python, PyTorch, CUDA, and ML-Agents. Create a new Unity project and develop an agent with custom actions and observations. Explore training techniques, including heuristics testing and reward systems. Implement a trained brain model, improve its performance, and visualize results using TensorBoard. By the end of this tutorial, you'll have the skills to create and train AI agents for your Unity games and applications.
Syllabus
What is Machine Learning, ML-Agents
Installation Python, PyTorch, CUDA, ML-Agents
New Unity Project
Create Agent
Agent Actions
Test Training
Agent Observations
Agent Reward
Heuristics Testing
Training
Use Trained Brain Model
Improve Brain Model
TensorBoard Visualization
Final Result
Taught by
Code Monkey