Now showing items 1-4 of 4

    • Distributed multi-agent online learning based on global feedback 

      Tekin, C.; Zhang, S.; Schaar, Mihaela van der (Institute of Electrical and Electronics Engineers, 2015-05-01)
      Abstract—In this paper, we develop online learning algorithms that enable the agents to cooperatively learn how to maximize the overall reward in scenarios where only noisy global feedback is available without exchanging ...
    • Electrospun UV-responsive supramolecular nanofibers from a cyclodextrin-azobenzene inclusion complex 

      Chen, M.; Nielsen, S. R.; Uyar, Tamer; Zhang, S.; Zafar, A.; Dong, M.; Besenbacher, F. (Royal Society of Chemistry, 2013)
      A combination of the unique hosting properties of cyclodextrins (CDs) and the peculiar UV-responsive trans-cis isomerization of the guest molecule azobenzene has endowed light-responsibility of the inclusion complex (IC). ...
    • A global effort to define the human genetics of protective immunity to SARS-CoV-2 infection 

      Casanova, J.-L.; Su, H. C.; Abel, L.; Aiuti, A.; Almuhsen, S.; Arias, A. A.; Bastard, P.; Biggs, C.; Bogunovic, D.; Boisson, B.; Boisson-Dupuis, S.; Bolze, A.; Bondarenko, A.; Bousfiha, A.; Brodin, P.; Bustamante, J.; Butte, M.; Casari, G.; Ciancanelli, M.; Cobat, A.; Condino-Neto, A.; Cooper, M.; Dalgard, C.; Espinosa, S.; Feldman, H.; Fellay, J.; Franco, J. L.; Hagin, D.; Itan, Y.; Jouanguy, E.; Lucas, C.; Mansouri, D.; Meyts, I.; Milner, J.; Mogensen, T.; Morio, T.; Ng, L.; Notarangelo, L. D.; Okada, S.; Özçelik, Tayfun; Palacín, P. S.; Planas, A.; Prando, C.; Puel, A.; Pujol, A.; Redin, C.; Renia, L.; Gallego, J. C. R.; Quintana-Murci, L.; Sancho-Shimizu, V.; Sankaran, V.; Seppänen, M. R. J.; Shahrooei, M.; Snow, A.; Spaan, A.; Tangye, S.; Tur, J. P.; Turvey, S.; Vinh, D. C.; von Bernuth, H.; Wang, X.; Zawadzki, P.; Zhang, Q.; Zhang, S. (Elsevier, 2020)
      SARS-CoV-2 infection displays immense inter-individual clinical variability, ranging from silent infection to lethal disease. The role of human genetics in determining clinical response to the virus remains unclear. Studies ...
    • Multiagent systems: learning, strategic behavior, cooperation, and network formation 

      Tekin, Cem; Zhang, S.; Xu, J.; Schaar, M. van der (Elsevier, 2018)
      Many applications ranging from crowdsourcing to recommender systems involve informationally decentralized agents repeatedly interacting with each other in order to reach their goals. These networked agents base their ...