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Konu "Reinforcement learning (Machine learning)" için Bilgisayar Mühendisliği listeleme

Konu "Reinforcement learning (Machine learning)" için Bilgisayar Mühendisliği listeleme

Sırala: Sıra: Sonuçlar:

  • Sardağ, Alp. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    A real world environment is often partially observable for agents either because of noisy sensors or incomplete perception. Autonomous strategy planning under uncer- tainty has two major challenges. The 歔rst one is autonomous ...
  • Emekligil, Erdem. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2018., 2018.)
    Deep Reinforcement Learning (DRL) combines deep neural networks with re inforcement learning. These methods, unlike their predecessors, learn end-to-end by extracting high-dimensional representations from raw sensory data ...