πŸ’» Unity 2024 ML-Agents | Live AI Robot Training | Kyle 2a0a-310m | PyTorch | Part 30

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Duration: 3:58:33
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In this video, I will show you how to train a robotic walker to cooperate with other walkers in a hostile environment using Unity Machine Learning Agents Toolkit.

**Coding** the new new motion agent system which takes in several hundred ray cast vectors from around the agent and determines where and how fast the agent should be traveling. we will first train about 60 million steps using the body capsule that has a fixed height of 1.6 meters (roughly the same as our robot). After we get a baseline model trained, we can experiment with using our trained ragdoll instead.

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you can find the latest kyle models on our github ::
https://github.com/cat-game-research/NekoCatGame/tree/main/RagdollTrainer/results
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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 robotic walker game. Thanks for watching!

#unity #gamedev #ai #mlagents #robot #walker #physics #2023 #visualstudio




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