Browsing by Author "1d81b711-faf6-4728-a145-4c211fce219c"

Now showing items 1-4 of 4

    • Accelerating decentralized reinforcement learning of complex individual behaviors 
      Leottau, David L.; Lobos Tsunekawa, Kenzo; Jaramillo, Francisco; Ruiz del Solar, Javier (Elsevier, 2019)
      Many Reinforcement Learning (RL) real-world applications have multi-dimensional action spaces which suffer from the combinatorial explosion of complexity. Then, it may turn infeasible to implement Centralized RL (CRL) ...
    • Decentralized reinforcement learning applied to mobile robots 
      Leottau, David L.; Vatsyayan, Aashish; Ruiz del Solar, Javier; Babuška, Robert (Springer, 2017)
      In this paper, decentralized reinforcement learning is applied to a control problem with a multidimensional action space. We propose a decentralized reinforcement learning architecture for a mobile robot, where the individual ...
    • Decentralized reinforcement learning of robot behaviors 
      Leottau, David L.; Ruíz del Solar San Martín, Javier; Babuška, Robert (Elsevier, 2018)
      A multi-agent methodology is proposed for Decentralized Reinforcement Learning (DRL) of individual behaviors in problems where multi-dimensional action spaces are involved. When using this methodology, sub-tasks are learned ...
    • Toward real-time decentralized reinforcement learning using finite support basis functions 
      Lobos-Tsunekawa, Kenzo; Leottau, David; Ruiz del Solar, Javier (Springer Verlag, 2017)
      This paper addresses the design and implementation of complex Reinforcement Learning (RL) behaviors where multi-dimensional action spaces are involved, as well as the need to execute the behaviors in real-time using robotic ...