Modular multi-agent reinforcement learning of linked multi-component robotic systems

Tesis doctoral de Borja Fernandez Gauna

The contents of this thesis can be summarized as two main ideas: modular techniques to decompose a reinforcement learning task in over-constrained environments such as linked-mcrs as several concurrent sub-tasks, and extension of these modular reinforcement learning approaches to multi-agent reinforcement learning environments.

 

Datos académicos de la tesis doctoral «Modular multi-agent reinforcement learning of linked multi-component robotic systems«

  • Título de la tesis:  Modular multi-agent reinforcement learning of linked multi-component robotic systems
  • Autor:  Borja Fernandez Gauna
  • Universidad:  País vasco/euskal herriko unibertsitatea
  • Fecha de lectura de la tesis:  23/04/2012

 

Dirección y tribunal

  • Director de la tesis
    • Manuel Graña Romay
  • Tribunal
    • Presidente del tribunal: angel Pascual del pobil y ferré
    • bruno Apolloni — (vocal)
    • michal Wozniak — (vocal)
    • richard José Duro fernandez (vocal)

 

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