Multi target tracking using a compact Q-learning with a teacher

E. M. Saad, M. H. Awadalla, A. M. Hamdy, H. I. Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper focuses on developing a team of mobile robots capable of learning via human interaction. A modified Q-learning algorithm incorporating a teacher is proposed. The paper first concentrates on simplifying the Q-learning algorithm to be implemented on small and simple team of robots having limited capabilities of memory and computational power. Second it concentrates on the incorporation of a human teacher in the Q-learning algorithm. Experiments using the well-known robot simulator Webots on both single and multi-target tracking tasks have been conducted. The achieved results show the success of the proposed algorithm in the over all system performance.

Original languageEnglish
Title of host publication2008 International Conference on Computer Engineering and Systems, ICCES 2008
Pages173-178
Number of pages6
DOIs
Publication statusPublished - 2008
Event2008 International Conference on Computer Engineering and Systems, ICCES 2008 - Cairo, Egypt
Duration: Nov 25 2008Nov 27 2008

Other

Other2008 International Conference on Computer Engineering and Systems, ICCES 2008
CountryEgypt
CityCairo
Period11/25/0811/27/08

Keywords

  • Human-robot interaction
  • Machine learning
  • Q-learning
  • Reinforcement learning

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Software

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  • Cite this

    Saad, E. M., Awadalla, M. H., Hamdy, A. M., & Ali, H. I. (2008). Multi target tracking using a compact Q-learning with a teacher. In 2008 International Conference on Computer Engineering and Systems, ICCES 2008 (pp. 173-178). [4772991] https://doi.org/10.1109/ICCES.2008.4772991