Automatic optimization of dialogue management

  • Authors:
  • Diane J. Litman;Michael S. Kearns;Satinder Singh;Marilyn A. Walker

  • Affiliations:
  • AT&T Labs - Research, Florham Park, NJ;AT&T Labs - Research, Florham Park, NJ;AT&T Labs - Research, Florham Park, NJ;AT&T Labs - Research, Florham Park, NJ

  • Venue:
  • COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
  • Year:
  • 2000

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Abstract

Designing the dialogue strategy of a spoken dialogue system involves many nontrivial choices. This paper presents a reinforcement learning approach for automatically optimizing a dialogue strategy that addresses the technical challenges in applying reinforcement learning to a working dialogue system with human users. We then show that our approach measurably improves performance in an experimental system.