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  • Conference paper
    Sato F, Nishii T, Takahashi J, Yoshida Y, Mitsuhashi M, Kormushev P, Kanamiya Yet al., 2010,

    Whiteboard Cleaning Task Realization with HOAP-2

    , Pages: 426-429
  • Conference paper
    Kormushev P, Dong F, Hirota K, 2009,

    Probability redistribution using time hopping for reinforcement learning

  • Journal article
    Kormushev P, Nomoto K, Dong F, Hirota Ket al., 2009,

    Eligibility Propagation to Speed up Time Hopping for Reinforcement Learning

    , Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol: 13, No. 6
  • Journal article
    Kormushev P, Nomoto K, Dong F, Hirota Ket al., 2008,

    Time manipulation technique for speeding up reinforcement learning in simulations

    , Cybernetics and Information Technologies, Vol: 8, Pages: 12-24, ISSN: 1311-9702

    A technique for speeding up reinforcement learning algorithms by usingtime manipulation is proposed. It is applicable to failure-avoidance controlproblems running in a computer simulation. Turning the time of the simulationbackwards on failure events is shown to speed up the learning by 260% andimprove the state space exploration by 12% on the cart-pole balancing task,compared to the conventional Q-learning and Actor-Critic algorithms.

  • Conference paper
    Yamazaki Y, Dong F, Masuda Y, Uehara Y, Kormushev P, Vu HA, Le PQ, Hirota Ket al., 2007,

    Fuzzy inference based mentality estimation for eye robot agent

  • Conference paper
    Yamazaki Y, Dong F, Masuda Y, Uehara Y, Kormushev P, Vu HA, Le PQ, Hirota Ket al., 2007,

    Intent expression using eye robot for mascot robot system

  • Journal article
    Agre G, Kormushev P, Dilov I, 2006,

    INFRAWEBS Axiom Editor - A graphical ontology-driven tool for creating complex logical expressions

    , International Journal of Information Theories and Applications, Vol: 13, Pages: 169-178
  • Conference paper
    Agre G, Kormushev P, Dilov I, 2005,

    INFRAWEBS Capability Editor - A graphical ontology-driven tool for creating capabilities of Semantic Web Services

    , Pages: 228-228

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