cs.LG, cs.NE

Fuzzy Encoding-Decoding to Improve Spiking Q-Learning Performance in Autonomous Driving

arXiv:2604.16436v1 Announce Type: cross
Abstract: This paper develops an end-to-end fuzzy encoder-decoder architecture for enhancing vision-based multi-modal deep spiking Q-networks in autonomous driving. The method addresses two core limitations of s…