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20 Feb 2018: After every batch of 200 training dialogues, the partiallytrained policies were evaluated on1000 simulated dialogues.In the case of theǫ-greedy policy the exploration was switchedoff during the evaluation. ... a pub that has a TV and allows. 100 200 300

20 Feb 2018: This yielded about13K utterances, one for each DA, which is much more difficult than the previous two domains (5.1Kutterances, 200 distinct DAs).

13 Mar 2018: 50 100 150 200 250 300 350. 50. 100. 150. 200. ... 200. 250. Figure 3. Examples of the covariances in image 2, for inliersto two motion hypotheses.

20 Feb 2018: The results indicate that the SL-model couldwork quite well with humans, but was improved byRL on the 200 training dialogues.

20 Feb 2018: The results are given in Fig. 2. 0 200 400 600 800 1000 1200 1400 1600Training dialogues. ... based adaptation can restore a system tooptimal performance within 200 to 300 adaptationdialogues.

20 Feb 2018: 33.5. 34. 34.5. 35. 35.5. 36. 36.5. 37. 37.5. 0 200 400 600 800 1000 1200 1400 1600 1800 2000.

20 Feb 2018: NonNativeA: Chinese sentences 11-20 and 31-40 spoken bythe first 10 native English speakers, 200 utterances in to-tal.

20 Feb 2018: Table 2: Performance of template selection. (p=0.8). Y-clustering (p=0.8)#templates 200 400 600 800 1000 1827.

20 Feb 2018: Usingapproximately 250 linear support vector machine classifiers imple-mented in Java on a Quadcore Pentium 2.4 GHz, each utterance wasparsed in less than 200 ms on average, for both evaluation

15 Jun 2018: The proposed relevance assessment model was implementedin Tensorflow [27]. It consists of 2 BiRNN encoders with400 LSTM recurrent units with hyperbolic tangent (TanH) non-linearities, 200 for the forward states and ... embeddings. Thebinary classifier