all AI news
Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization. (arXiv:2206.03654v1 [cs.NE])
June 9, 2022, 1:10 a.m. | Yinqian Sun, Yi Zeng, Yang Li
cs.LG updates on arXiv.org arxiv.org
Brain inspired spiking neural networks (SNNs) have been successfully applied
to many pattern recognition domains. The SNNs based deep structure have
achieved considerable results in perceptual tasks, such as image
classification, target detection. However, the application of deep SNNs in
reinforcement learning (RL) tasks is still a problem to be explored. Although
there have been previous studies on the combination of SNNs and RL, most of
them focus on robotic control problems with shallow networks or using ANN-SNN
conversion method …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Technology Consultant Master Data Management (w/m/d)
@ SAP | Walldorf, DE, 69190
Research Engineer, Computer Vision, Google Research
@ Google | Nairobi, Kenya