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Learning Optimal Strategies for Spoken Dialogue Systems

Learning Optimal Strategies for Spoken Dialogue Systems. Diane Litman University of Pittsburgh Pittsburgh, PA 15260 USA. Outline. Motivation Markov Decision Processes and Reinforcement Learning NJFun: A Case Study Advanced Topics. Motivation.

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1.24k views • 102 slides

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world. self. world. s. r. H(S) = - ? s P(s)ln 2 P(s). H(R). if P(s 1 ,s 2 )=P(s 1 )P(s 2 ) then H(s 1 ,s 2 )=H(s 1 )+H(s 2 ). I(S,R)= ? s,r P(s,r)ln 2 [P(s,r)/P(s)P(r)]. If r is binary , e.g. P(r=1)=a P(r=0)=1-a ? H(R) = a ln 2 (1/a) + (1-a) ln 2 [1/(1-a)]. ?. ?.

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403 views • 40 slides

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Cumulative reward - PowerPoint PPT Presentation

Learning Optimal Strategies for Spoken Dialogue Systems

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