Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks
Signal-Adaptive Trust Regions for Gradient-Free Optimization of Recurrent Spiking Neural Networks explores Optimize energy-efficient recurrent spiking neural networks for reinforcement learning using signal-adaptive trust regions.. Commercial viability score: 5/10 in Reinforcement Learning.
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