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 |
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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 |
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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