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can a neural network learn to walk as a physical object in a physics simulation? here I train walking neural nets with an evolutionary algorithm. The input nodes/feet are activated by sine waves at learned phases & connections between two neurons extend based on their difference

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Matt Henderson

80,126 subscribers

339,220 görüntüleme • 3 yıl önce •via X (Twitter)

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Matt Henderson profil fotoğrafı
Matt Henderson3 yıl önce

aka “embodied neural networks”

Matt Henderson profil fotoğrafı
Matt Henderson3 yıl önce

Remember soda constructor?

Patrick Ꝺoyle profil fotoğrafı
Patrick Ꝺoyle3 yıl önce

Whatever the result, they seem to be enjoying themselves.

Eric Jang profil fotoğrafı
Eric Jang3 yıl önce

this is amazing. would you consider open-sourcing the code? I'd love to extend this to optimizing the architecture of the net itself, so it ends up having to trade off physical bulk with function approximation power

Tom profil fotoğrafı
Tom3 yıl önce

Looks kinda similar

Austen Lamacraft profil fotoğrafı
Austen Lamacraft3 yıl önce

Surely a CNN will work better because of the strides?

c7ddfc profil fotoğrafı
c7ddfc3 yıl önce

reminds me of this, also controlled by a neural net

Mike Vella profil fotoğrafı
Mike Vella3 yıl önce

How do you think of this stuff??

Matt Henderson profil fotoğrafı
Matt Henderson3 yıl önce

I saw a cool demo of a neural net controlling an inverted pendulum, and was thinking it would be cool to make a nnet control something. I was also thinking about that old game soda constructor. Then I thought of this idea like a bad joke about learning to walk

Connor McCormick profil fotoğrafı
Connor McCormick3 yıl önce

You should make it so that the ground is a treadmill with numbers on it, and the fitness function rewards it both for walking and for adding the numbers it's touching correctly.

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