Hexagon-Based Q-Learning Algorithm and Applications

نویسندگان

  • Hyun-Chang Yang
  • Kwee-Bo Sim
  • Ho-Duck Kim
  • Han-Ul Yoon
  • In-Hun Jang
چکیده

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.

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تاریخ انتشار 2007