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1
What is Machine Learning, ML-Agents
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Installation Python, PyTorch, CUDA, ML-Agents
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New Unity Project
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Create Agent
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Agent Actions
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Test Training
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Agent Observations
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Agent Reward
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Heuristics Testing
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Training
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Use Trained Brain Model
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Improve Brain Model
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TensorBoard Visualization
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Final Result
Description:
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.

How to Use Machine Learning AI in Unity - ML-Agents

Code Monkey
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