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A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
Published on: January 19, 2022
Shruti Mishra1, Wim M van Rees2, L Mahadevan1,3,4
1Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
This study models soft-bodied crawling locomotion using reinforcement learning. It shows that simple neural networks can learn efficient movement, mimicking biological and robotic systems.
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