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9 Aug 2005: H , AM3,/; JK2,Q4 =@23JKL0,/<KN 238? '; =? =@<L =@<KA, 814l2, 43,/.043,/MM3JT81?P234 =@?'M 814GCMY). ... O480G 2,23,/M2lM,/2W8,E= MR ,E= 0,/4 =@MWAM3,/; 814W,/L = <KA+=@23JT81?

9 Aug 2005: ª¡Tà?¢¤Ë¿¢dA¡£Ý¢á,ʪ¡«8¡TÁµ > I@I ¡ºª«¡£rÁ 2KÁ rÁ ºªaÊ&I¤£ CIòª¢¢ ìC¡T 2¤T£¢ 0è 0-Ia8¢dÜÌÁ kÁ.

20 Feb 2018: kA(a,a′). For a training sequence of belief state-action pairs B = [(b0,a0),. , ... kA(a,a′) = δa(a. ′) (6). where δa(a′) = 1 iff a = a′, 0 otherwise.

9 Aug 2005: x(t). u(t). x(t1). y(t1). Time. delay. F,D(KA #5! 8 R#$PL/!of!#mz] @? POj s#i$@"!0 A Lof8# $]( /1?#0A $#$? & K9i & ... K#=#k ,$ #kA? C #eL,=F & & /_0 ,.d $7 F]! &

13 Mar 2018: ÃÄ-,90/ªÀ=4"!t4M9sÌ:4ÊtA%&Ì:C=90A'4<UKtæ4A'?&>-,"$+?A'Ê$&,&ÁÆ646A'ûtÀM&ADBAD/QCM#'&/&4<?&>5ÚÌ:Æ6A'ÁÆ8-?&>Á9sÊ0&-UX+,Æ6&/Q"wÉtAD/kÀ=/#%A#!w&#%ADÆM9t9M52&,? ... ÀM+:,&4A'?&-U"w+,A%9<46Ì}&-,&46&&56&58+?9ËE4658UÆM& /A'4MAD/kÀ=/K.

20 Feb 2018: Zhang and Chaudhuri2015] Chicheng Zhang and Ka-malika Chaudhuri. 2015. Active learning fromweak and strong labelers.

9 Aug 2005: P A+5!V?T65A%. ,2Ta I QA P! , ,2Q4 V65A KA P'A+&QA+,6A1>,5?"6Q6 Q5A! ... 6 U!65. A+ -FA+"4 , 6R %KA pD-U% Ya I BAP[A 4?

20 Feb 2018: kA(a,a′). The. policy is optimised using an algorithm called GP-SARSA [7, 45] in which theQ-function is updated by calculating the posterior given the collected belief-action pairs ... The summary action kernel is defined as:. kA(a,a′) = δa(a. ′)

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9 Aug 2005: åãòIë5àóáãçákîïçåQä)ðäÎàAìç éäçà¡áå èùäåá èìèàïAàøAèé áãèâåäÎáQïçáQäòà ë5ãèéèáãèÕèùÒçñáäÎàAìçéäç à¡áøAò¡èåàòálèù¡äåá]'äÎàÒöDò ... èéHøAèéä)ì%çá