Loading...

A cooperative learning method based on cellular learning automata and its application in optimization problems

Mozafari, M ; Sharif University of Technology | 2015

608 Viewed
  1. Type of Document: Article
  2. DOI: 10.1016/j.jocs.2015.08.002
  3. Publisher: Elsevier , 2015
  4. Abstract:
  5. In this paper, a novel reinforcement learning method inspired by the way humans learn from others is presented. This method is developed based on cellular learning automata featuring a modular design and cooperation techniques. The modular design brings flexibility, reusability and applicability in a wide range of problems to the method. This paper focuses on analyzing sensitivity of the method's parameters and the applicability in optimization problems. Results of the experiments justify that the new method outperforms similar ones because of employing knowledge sharing technique, reasonable exploration logic, and learning rules based on the action trajectory
  6. Keywords:
  7. Cellular automata ; Information management ; Knowledge management ; Optimization ; Reinforcement learning ; Reusability ; Cellular learning automata ; Cooperative learning ; ITS applications ; Knowledge-sharing ; Learning rules ; Modular designs ; Optimization problems ; Reinforcement learning method ; Learning systems
  8. Source: Journal of Computational Science ; Volume 11 , November , 2015 , Pages 279–288 ; 18777503 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S1877750315300077