arXiv cs.NE
· Papers
Error Amplification Limits ANN-to-SNN Conversion in Continuous Control
arXiv:2601.21778v3 Announce Type: replace Abstract: Spiking Neural Networks (SNNs) can achieve competitive performance by converting already existing well-trained Artificial Neural Networks (ANNs), avoiding further costly training. This property is particularly attractive in Reinforcement Learning (RL), where training