๐Ÿ’ป Unity 2024 ML-Agents | Live AI Robot Training | Walker.330m | PyTorch | Part 37

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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.

**Designing** the first incline and decline ramps. This first training session will not randomize the ramps, or any other complex layouts. This is simply used to help develop kyles calf and ankle muscles for more stable walking. Hopefully Kyle will not fall down to much.

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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 donโ€™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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2024-02-02๐Ÿ’ป Unity 2024 ML-Agents | Live AI Robot Training | Walker.330m | PyTorch | Part 37
2024-02-02๐Ÿ’ป Unity 2024 ML-Agents | Live AI Robot Training | Walker.330m | PyTorch | Part 36
2024-02-02๐Ÿ’ป Unity 2024 ML-Agents | Live AI Robot Training | Walker.330m | PyTorch | Part 35
2024-01-30๐Ÿ’ป Unity 2024 ML-Agents | Live AI Robot Training | Hallway.020m | PyTorch | Part 33
2024-01-29๐Ÿ’ป Unity 2024 ML-Agents | Live AI Robot Training | Hallway.020m | PyTorch | Part 34
2024-01-29๐Ÿ’ป Unity 2024 ML-Agents | Live AI Robot Training | Kyle 2a0a-310m | PyTorch | Part 32
2024-01-29๐Ÿ’ป Unity 2024 ML-Agents | Live AI Robot Training | Kyle 2a0a-210m | PyTorch | Part 27
2024-01-29๐Ÿ’ป Unity 2024 ML-Agents | Live AI Robot Training | Kyle 2a0a-310m | PyTorch | Part 32
2024-01-28๐Ÿ’ป Unity 2024 ML-Agents | Live AI Robot Training | Kyle 2a0a-310m | PyTorch | Part 31
2024-01-28๐Ÿ’ป Unity 2024 ML-Agents | Live AI Robot Training | Kyle 2a0a-310m | PyTorch | Part 30
2024-01-28๐Ÿ’ป Unity 2024 ML-Agents | Live AI Robot Training | Kyle 2a0a-210m | PyTorch | Part 29



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