Indirect and Direct Training of Spiking Neural Networks for End-to-End Control of a Lane-Keeping Vehicle

no code implementations • 10 Mar 2020 • Zhenshan Bing, Claus Meschede, Guang Chen, Alois Knoll, Kai Huang

Building spiking neural networks (SNNs) based on biological synaptic plasticities holds a promising potential for accomplishing fast and energy-efficient computing, which is beneficial to mobile robotic applications.

Q-Learning