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Published in:
2005 | OriginalPaper | Chapter
Hexagon-Based Q-Learning to Find a Hidden Target Object
Authors : Han-Ul Yoon, Kwee-Bo Sim
Published in: Computational Intelligence and Security
Publisher: Springer Berlin Heidelberg
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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.