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 language | English |
|---|---|
| Title of host publication | 2008 International Conference on Computer Engineering and Systems, ICCES 2008 |
| Pages | 173-178 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 2008 International Conference on Computer Engineering and Systems, ICCES 2008 - Cairo, Egypt Duration: Nov 25 2008 → Nov 27 2008 |
Other
| Other | 2008 International Conference on Computer Engineering and Systems, ICCES 2008 |
|---|---|
| Country | Egypt |
| City | Cairo |
| Period | 11/25/08 → 11/27/08 |
Keywords
- Human-robot interaction
- Machine learning
- Q-learning
- Reinforcement learning
ASJC Scopus subject areas
- Computer Science Applications
- Hardware and Architecture
- Software
Fingerprint Dive into the research topics of 'Multi target tracking using a compact Q-learning with a teacher'. Together they form a unique fingerprint.
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