Neural Computing and Applications (Journal)

  • Zhong, J. (Special topic editor)
  • Mark Elshaw (Special topic editor)
  • Yanan Li (Special topic editor)
  • Stefan Wermter (Special topic editor)
  • Xiaofeng Liu (Special topic editor)

Activity: Publication peer-review and editorial workEditorial work for journals


This special issue will offer the opportunity for researchers and practitioners in the diverse fields of robotics to showcase its solutions and applications where human reinforcement feedback would have a positive impact on the training processes. The inclusion of human-in-the-loop (HIL) would allow robots and machine learning models to use both internal and external feedback to speed up the learning process and also improve its performance. In many ways, this could allow the models to learn through their own self-reflection as well as the external input from a human.

Specifically, as a follow-up journal publication of the special session in HIL machine learning in IEEE SMC 2020, extended versions of the accepted papers are mostly welcomed.
Period31 Dec 2020
Type of journalJournal
Degree of RecognitionInternational