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most citedSpikePropamine: Differentiable Plasticity in Spiking Neural Networks

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cs.LG2021

Learning To Estimate Regions Of Attraction Of Autonomous Dynamical Systems Using Physics-Informed Neural Networks

Cody Scharzenberger, Joe Hays

When learning to perform motor tasks in a simulated environment, neural networks must be allowed to explore their action space to discover new potentially viable solutions. However…