|Hexagon-Based Q-Learning Algorithm and Applications
Hyun-Chang Yang, Ho-Duck Kim, Han-Ul Yoon, In-Hun Jang, and Kwee-Bo Sim*
International Journal of Control, Automation, and Systems, vol. 5, no. 5, pp.570-576, 2007
Abstract : This paper presents a hexagon-based Q-leaning algorithm to find a hidden target object with multiple robots. An experimental environment was designed with five small mobile robots, obstacles, and a target object. Robots went in search of a target object while navigating in a hallway where obstacles were strategically placed. This experiment employed 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.
Keyword : Area-based action making, hexagon-based Q-learning, ROBOSIM simulator.