Neural network, Machine learning, Learning, Artificial intelligence, Neural networks, Artificial neural network

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On Oct 1, 2020
@hardmaru shared
RT @risi1979: Congratulations to @enasmel for his (and my!) first accepted #NeurIPS paper! 🎉 We added an experiment that shows that Hebbian networks can also sometimes generalize to robot morphologies not seen during training. PDF: https://t.co/r0ZOIPXvCz Code: https://t.co/JDgFZ2xsT1 https://t.co/WQxGWNrWz4 https://t.co/KOqpEHK6iD
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We find that starting from completely random weights, the discovered Hebbian rules enable an agent to navigate a dynamical 2D-pixel environment; likewise they allow a simulated 3D quadrupedal robot to learn how to walk while adapting to morphological damage not seen during training and in ...

arxiv.org
On Oct 1, 2020
@hardmaru shared
RT @risi1979: Congratulations to @enasmel for his (and my!) first accepted #NeurIPS paper! 🎉 We added an experiment that shows that Hebbian networks can also sometimes generalize to robot morphologies not seen during training. PDF: https://t.co/r0ZOIPXvCz Code: https://t.co/JDgFZ2xsT1 https://t.co/WQxGWNrWz4 https://t.co/KOqpEHK6iD
Open

Click here to read the article

Click here to read the article

We find that starting from completely random weights, the discovered Hebbian rules enable an agent to navigate a dynamical 2D-pixel environment; likewise they allow a simulated 3D ...

Click here to read the article

Click here to read the article

External output External input • Write vector • Write interpolation • Jump parameter • Shift (left, stay and right) Read vector 0,7 head 0,4 0 0 ••• 000 0,1 0,6 0 0000 ••• (a) ENTM External ...

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