Advertisement

Applying Reinforcement Learning to Multi-robot System Behavior Coordination

  • Yolanda Sanz
  • Javier de Lope
  • Darío Maravall
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5717)

Abstract

We have applied ANLAGIS to a coordination problem Multi-robot Systems, specifically the storage of a set of elements is in the warehouses. We have combined ANLAGIS along with Reinforcement Learning for each of the behaviors that stem from this task, besides drawing up the coordination of these behaviors in order to perform the task in a satisfactory way.

Keywords

Multi-robots systems cooperative systems coordination learning systems 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Mahadevan, S., Connell, J.: Automatic Programming of Behavior-based Robots Using Reinforcement Learning. Artificial Intelligence 55, 311–365 (1992)CrossRefGoogle Scholar
  2. 2.
    Maravall, D., de Lope, J.: Neuro Granular Networks with Self-learning Stochastic Connections:Fusion of Neuro Granular Networks and Learning Automata Theory. In: Koppen, M., et al. (eds.) ICONIP 2008, Part I. LNCS, vol. 5506, pp. 1025–1032. Springer, Heidelberg (2009)Google Scholar
  3. 3.
    Sutton, R., Barto, A.: Reinforcement Learning: An Introduction. MIT Press, Cambridge (1998)Google Scholar
  4. 4.
    Watkins, C., Dayan, P.: Technical note Q-learning. Machine Learning 8, 279 (1992)zbMATHGoogle Scholar
  5. 5.

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Yolanda Sanz
    • 1
  • Javier de Lope
    • 1
  • Darío Maravall
    • 1
  1. 1.Perception for Computer and RobotsUniversidad Politécnica de MadridMadridSpain

Personalised recommendations