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20 Feb 2018: The summary action kernel is defined as:. kA(a,a′) = δa(a. ′) (3). ... 24. Figure 13: The number of times each system queries the user for feedback during on-linepolicy optimisation as a function of the number of training dialogues.

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. ... 52 class n-gram 26.3 25.0 24.9 HVS_52 21.7 20.4 20.1. Table 1: Perplexity for models of

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). ... 24, no. 4, pp. 562–588, 2010. [10] M. Gǎsić, S. Keizer, F.

31 Dec 2018: 23. 1. z. 4p2+. (3.24). The next part’s a little fiddly. ... 1. 1. 2p2. 3N. V+. which we then substitute into (3.24) to get.

20 Jun 2018: Physical description: Two pieces from the same leaf. 24 cm. x 22 cm, 26 cm. ... Date: 3rd century A.H.l9th century A.D. Physical description: 24 cm. x 24 cm.

28 Feb 2018: 2000 ‘Nihonjin wa naze densha no naka de nemuru no ka’ (‘Why do Japanese sleep in the. ... Brandner, July 24. 2002 ‘Media Work for Students of Japanese Studies,’ with Judith Brandner, IIAS Newsletter.

20 Feb 2018: To obtain a closed formsolution of (24), the policy π must be differentiable with respect to θ. ... 10. To lower the variance of the estimate of the gradient, a constant baseline, B, can beintroduced into (24) without introducing any bias [22].

20 Feb 2018: An advantage of this sparsification approach is that itenables non-positive definite kernel functions to be used in theapproximation, for example see [24]. ... It has already beenshown that active learning has the potential to lead to fasterlearning [24]

23 Sep 2018: Papaleo et al. (2018), PeerJ, DOI 10.7717/peerj.5125 4/24. Teilum & Poulsen, 2010). ... Papaleo et al. (2018), PeerJ, DOI 10.7717/peerj.5125 8/24. chemical shifts (Fig.