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Volumn , Issue , 2011, Pages 2940-2943

The non-Bayesian restless multi-armed bandit: A case of near-logarithmic regret

Author keywords

learning; non Bayesian; opportunistic spectrum access; regret; restless bandit

Indexed keywords

LEARNING; NON-BAYESIAN; OPPORTUNISTIC SPECTRUM ACCESS; REGRET; RESTLESS BANDIT;

EID: 80051623306     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2011.5946273     Document Type: Conference Paper
Times cited : (54)

References (9)
  • 1
    • 0001043843 scopus 로고
    • Restless Bandits: Activity Allocation in a Changing World
    • P. Whittle, "Restless Bandits: Activity Allocation in a Changing World," Journal of Applied Probability, vol. 25, 1988.
    • (1988) Journal of Applied Probability , vol.25
    • Whittle, P.1
  • 3
    • 77958597180 scopus 로고    scopus 로고
    • Indexability of restless bandit problems and optimality of Whittle index for dynamic multichannel access
    • K. Liu and Q. Zhao, "Indexability of restless bandit problems and optimality of Whittle index for dynamic multichannel access," IEEE Transactions on Information Theory, vol. 56, no. 11, 2010.
    • (2010) IEEE Transactions on Information Theory , vol.56 , Issue.11
    • Liu, K.1    Zhao, Q.2
  • 4
    • 58149117462 scopus 로고    scopus 로고
    • On myopic sensing for multi-channel opportunistic access: Structure, optimality, and performance
    • Q. Zhao, B. Krishnamachari, and K. Liu, "On myopic sensing for multi-channel opportunistic access: structure, optimality, and performance," IEEE Transactions on Wireless Communications, vol. 7, no. 12, 2008.
    • (2008) IEEE Transactions on Wireless Communications , vol.7 , Issue.12
    • Zhao, Q.1    Krishnamachari, B.2    Liu, K.3
  • 6
    • 0002899547 scopus 로고
    • Asymptotically efficient adaptive allocation rules
    • T. Lai and H. Robbins, "Asymptotically efficient adaptive allocation rules," Advances in Applied Mathematics, vol. 6, no. 1, 1985.
    • (1985) Advances in Applied Mathematics , vol.6 , Issue.1
    • Lai, T.1    Robbins, H.2
  • 7
    • 0036568025 scopus 로고    scopus 로고
    • Finite-time Analysis of the Multiarmed Bandit Problem
    • P. Auer, N. Cesa-Bianchi, and P. Fischer, "Finite-time Analysis of the Multiarmed Bandit Problem", Machine Learning, vol. 47, No.2-3, 2002.
    • (2002) Machine Learning , vol.47 , Issue.2-3
    • Auer, P.1    Cesa-Bianchi, N.2    Fischer, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.