arXiv cs.NE
· Papers
Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons
arXiv:2506.03392v2 Announce Type: replace-cross Abstract: We propose a new ternary spiking neuron model to improve the representation capacity of binary spiking neurons in deep Q-learning. Although a ternary neuron model has recently been introduced to overcome the limited representation capacity offered by the binary