Now showing items 1-2 of 2

    • Combinatorial multi-armed bandit problem with probabilistically triggered arms: a case with bounded regret 

      Sarıtaç, A. Ömer; Tekin, Cem (IEEE, 2017-11)
      In this paper, we study the combinatorial multi-armed bandit problem (CMAB) with probabilistically triggered arms (PTAs). Under the assumption that the arm triggering probabilities (ATPs) are positive for all arms, we prove ...
    • Global bandits 

      Atan, O.; Tekin, C.; Schaar, M. V. D. (Institute of Electrical and Electronics Engineers, 2018)
      Multiarmed bandits (MABs) model sequential decision-making problems, in which a learner sequentially chooses arms with unknown reward distributions in order to maximize its cumulative reward. Most of the prior works on MAB ...