Archiv zpráv a událostí

Z fakulty

  • Informatické kolokvium 5. 12. Mastering games with deep learning

    Informatické kolokvium 5. 12. 2017, 14:00 posluchárna D2
    doc. RNDr. Tomáš Brázdil, Ph.D., FI MU
    Mastering games with deep learning
    Abstrakt: The main theme of the talk is how much a deep learning agent could
    learn by playing games against itself. I will start with a historical overview
    of TD-Gammon, a famous algorithm for playing backgammon at expert level. In the
    main part I will concentrate on the very recent algorithms for playing Go above
    master level. I will give an overview of fundamental methods, namely deep
    reinforcement learning and Monte Carlo tree search. Finally, I will comment on
    new directions in the area, especially the Starcraft II challenge in which the
    current algorithms still fail to deliver convincing results.

    Webová adresa