π» Unity 2024 ML-Agents | Live AI Robot Training | Kyle 2a0a | PyTorch | Part 20
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.
**Simulating** continues with part 2 of training Kyle a0a to avoid walls. We also need to start thinking about switching over to streaming our fitness renderings which will not contain the annoying buffer lag between the cpu dumping its cores. I mean we are only training 3oo plus agents which are compressed down into 820kb.
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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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