π» Unity 2023 ML-Agents | Live AI Spider Training | CUDA | PyTorch | Part 4
0Have you ever dreamed of creating your own spider game with realistic and intelligent behaviors? In this video, I will show you how to do that using Unity Machine Learning Agents Toolkit.
ML-Agents is an open source project that allows you to create and train intelligent agents using reinforcement learning and deep neural networks. You will learn how to use ML-Agents to create a crawler agent with multiple legs that can move around the arena and interact with the environment. You will also learn how to modify the source code controlling the vector space, memory, and decisions of the crawler agent. And you will see how to use Visual Studio editor to write and debug your code.
By the end of this video, you will have a better understanding of how ML-Agents works and how to use it for your own projects. You will also have a fun and creepy spider game that you can play and improve.
This is the fourth video in my Unity Machine Learning series, where I teach you how to use ML-Agents for various games and simulations. If you want to learn more about ML-Agents, check out my other videos and playlists on this topic.
If you enjoyed this video, please hit the like button and subscribe to my channel for more Unity Machine Learning content. And don't forget to leave a comment below and let me know what you think of my spider game. Thanks for watching!
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