Now showing items 1-3 of 3

    • An efficient bandit algorithm for general weight assignments 

      Gokcesu, K.; Ergen, T.; Ciftci, S.; Kozat, S. S. (Institute of Electrical and Electronics Engineers Inc., 2017)
      In this paper, we study the adversarial multi armed bandit problem and present a generally implementable efficient bandit arm selection structure. Since we do not have any statistical assumptions on the bandit arm losses, ...
    • Jamming bandits-a novel learning method for optimal jamming 

      Amuru, S.; Tekin, C.; Van Der Schaar, M.; Buehrer, R.M. (Institute of Electrical and Electronics Engineers Inc., 2016)
      Can an intelligent jammer learn and adapt to unknown environments in an electronic warfare-type scenario? In this paper, we answer this question in the positive, by developing a cognitive jammer that adaptively and optimally ...
    • Learning traffic congestion by contextual bandit problems for optimum localization 

      Sahin, U.; Yucesoy, V.; Koc, A.; Tekin, C. (Institute of Electrical and Electronics Engineers Inc., 2017)
      Optimum localization problem, which has a wide range of application areas in real life such as emergency services, command and control systems, warehouse localization, shipment planning, aims to find the best location to ...