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<Paper uid="W00-0304">
  <Title>NJFun: A Reinforcement Learning Spoken Dialogue System</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper describes NJFun, a real-time spoken dialogue systemthat-provides users with information about things to d~ in New Jersey. NJFun automatically optimizes its dialogue strategy over time, by using a methodology for applying reinforcement learning to a working dialogue system with human users.</Paragraph>
  </Section>
class="xml-element"></Paper>