LEADER 00779nam0-22002411i-450- 001 990001211350403321 035 $a000121135 035 $aFED01000121135 035 $a(Aleph)000121135FED01 035 $a000121135 100 $a20000920d1981----km-y0itay50------ba 101 0 $aeng 200 1 $aCombinatorics and graph theory$eProceedings of the Symposium held at the Indian Statistical Institute, Calcutta, February 25-29, 1980$fedited by S.B. Rao 210 $aBerlin [etc.]$cSpringer-Verlag$d1981 225 1 $aLecture Notes in Mathematics$v885 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001211350403321 952 $aC-20-(885$b20565 bis$fMA1 959 $aMA1 996 $aCombinatorics and graph theory$979928 997 $aUNINA DB $aING01 LEADER 03315nam 22005895 450 001 9910484135903321 005 20251204104332.0 010 $a3-030-69959-5 024 7 $a10.1007/978-3-030-69959-8 035 $a(CKB)4100000011937994 035 $a(DE-He213)978-3-030-69959-8 035 $a(MiAaPQ)EBC6628108 035 $a(Au-PeEL)EBL6628108 035 $a(OCoLC)1252704232 035 $a(PPN)255887477 035 $a(EXLCZ)994100000011937994 100 $a20210519d2021 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRestless Multi-Armed Bandit in Opportunistic Scheduling /$fby Kehao Wang, Lin Chen 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (XII, 151 p. 12 illus. in color.) 311 08$a3-030-69958-7 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- RMAB in Opportunistic Scheduling -- Optimality of Myopic Policy with Imperfect Sensing -- Whittle Index Policy with Imperfect Sensing -- Heuristic Policy with Imperfect Sensing -- Optimality of Myopic Policy with Imperfect Observation -- Whittle Index Policy for Multi-State Channel Scheduling -- Conclusion. 330 $aThis book provides foundations for the understanding and design of computation-efficient algorithms and protocols for those interactions with environment, i.e., wireless communication systems. The book provides a systematic treatment of the theoretical foundation and algorithmic tools necessarily in the design of computation-efficient algorithms and protocols in stochastic scheduling. The problems addressed in the book are of both fundamental and practical importance. Target readers of the book are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on stochastic scheduling and their applications, both from theoretical and engineering perspective. Introduces Restless Multi-Armed Bandit (RMAB) and presents its relevant tools involved in machine learning and how to adapt them for application; Elaborates on research bringing the conventional decision theory and stochastic optimal technology into wireless communication applications involving machine learning; Delivers a comprehensive treatment on problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization. 606 $aTelecommunication 606 $aComputational intelligence 606 $aMachine learning 606 $aCommunications Engineering, Networks 606 $aComputational Intelligence 606 $aMachine Learning 615 0$aTelecommunication. 615 0$aComputational intelligence. 615 0$aMachine learning. 615 14$aCommunications Engineering, Networks. 615 24$aComputational Intelligence. 615 24$aMachine Learning. 676 $a621.384131 700 $aWang$b Kehao$0866395 702 $aChen$b Lin 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484135903321 996 $aRestless Multi-Armed Bandit in Opportunistic Scheduling$91933732 997 $aUNINA