Now showing items 1-2 of 2

  • Exploiting symmetries in reinforcement learning of bimanual robotic tasks 

    Amadio, Fabio; Colomé Figueras, Adrià; Torras, Carme (Institute of Electrical and Electronics Engineers (IEEE), 2019)
    Article
    Open Access
    Movement Primitives (MPs) have been widely adopted for representing and learning robotic movements using Reinforcement Learning Policy Search. Probabilistic Movement Primitives (ProMPs) are a kind of MP based on a stochastic ...
  • Using symmetries in reinforcement learning of bimanual robotic tasks 

    Amadio, Fabio (Universitat Politècnica de Catalunya, 2018-06-21)
    Master thesis
    Open Access
    The learning of bimanual robotic tasks, i.e., tasks executed by two manipulators together, can be particularly important in the new scenarios opened by the rise of humanoid robotics, one of the most interesting trend ...