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20 Feb 2018: kA(a,a′) = δa(a. ′), (7). where δa(a′) = 1 iff a = a′, 0 otherwise.4.2. ... The kernelfunction between two sets of actions is. kA(aB,aE) = δaB(a.

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20 Feb 2018: kA(a,a′). For a sequence of belief state-. action pairs Bt = [(b0,a0),. ... For the action space kernel, the δ-kernel is useddefined by:. kA(a,a′) = δa(a. ′).

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20 Feb 2018: and action spaces kB(b,b′)kA(a,a′). ... kA(a,a′) = δa(a. ′) (5). where δa(a′) = 1 iff a = a′, 0 otherwise.

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20 Feb 2018: and action spaces kB(b,b′)kA(a,a′). ... kA(a,a′) = δa(a. ′) (5). where δa(a′) = 1 iff a = a′, 0 otherwise.

20 Feb 2018: Q(b,a) GP (0,k((b,a), (b,a))) (2). where the kernel k(, ) is factored into separate kernels overbelief and action spaces kB(b,b′)kA(a,a′). ... kA(a,a′) = δa(a. ′) (7). where δa(a′) = 1 iff a = a′, 0 otherwise.

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20 Feb 2018: k(b,a,b′,a′) = kB(b,b′)kA(a,a. ′). (3). In addition, if we assume additive noise in the Q-function, Q(b,a) N(0,σ2), the following ... kA(a,a′) = 1 δa(a′) (14). where δa(a′) = 1 iff a = a′.For the full-space systems, the kernel function

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10 Jan 2005: We can then use equation (6) to calculate ka, the amountof coherent scattering correlating over a distance da in the axial direction. ... In this particular example, thepatch exhibits pronounced streaks in the lateral direction and kl is higher than ka.

20 Feb 2018: 211. 2121. 1. aannna. annnnn. ka. rd (13). Here nr specifies the number of events that occurred r times and a fixed discounting factor was used if they are zero.

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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?

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20 Feb 2018: is factored into separate kernels over thesummary state and action spaces kC(c,c′)kA(a,a′).

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]! &

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20 Feb 2018: function,Q(b, a) GP (0, k((b, a), (b, a))) wherethe kernelk(, ) is factored into separate kernels over thesummary state and action spaceskB(b, b)kA(a, a).

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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: 0 kE"'LP0 =V? kA#0 , #3#pN! 8 Wa(8G 9Zh(0 0.

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

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13 Mar 2018: A Probabilistic Framework for Space Carving. A. Broadhurst, T.W. Drummond and R. CipollaDepartment of EngineeringUniversity of CambridgeCambridge, UK CB2 1PZ. Abstract. This paper introduces a new probabilistic framework forSpace Carving [9]. In

9 Aug 2005: A Probabilistic Framework for Space Carving. A. Broadhurst, T.W. Drummond and R. CipollaDepartment of EngineeringUniversity of CambridgeCambridge, UK CB2 1PZ. Abstract. This paper introduces a new probabilistic framework forSpace Carving [9]. In

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