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Hexagon-based Q-learning to find a hidden target object
- Authors
- Yoon, H.-U.; Sim, K.-B.
- Issue Date
- Dec-2005
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 1, PROCEEDINGS, v.3801, pp 428 - 433
- Pages
- 6
- Journal Title
- COMPUTATIONAL INTELLIGENCE AND SECURITY, PT 1, PROCEEDINGS
- Volume
- 3801
- Start Page
- 428
- End Page
- 433
- ISSN
- 0302-9743
1611-3349
- Abstract
- This paper presents the hexagon-based Q-leaning to find a hidden target object with multiple robots. We set up an experimental environment with three small mobile robots, obstacles, and a target object. The robots were out to search for a target object while navigating in a hallway where some obstacles were placed. In this experiment, we used two control algorithms: an area-based action making (ABAM) process to determine the next action of the robots and hexagon-based Q-learning to enhance the area-based action making process.
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