Reinforcement Learning for Adaptive Dialogue Systems

A Data-driven Methodology for Dialogue Management and Natural Language Generation

Authors:

ISBN: 978-3-642-24941-9 (Print) 978-3-642-24942-6 (Online)

Table of contents (10 chapters)

  1. Front Matter

    Pages i-xv

  2. No Access

    Book Chapter

    Pages 1-6

    Introduction

  3. Fundamental Concepts

    1. Front Matter

      Pages 7-7

    2. No Access

      Book Chapter

      Pages 9-27

      Background

    3. No Access

      Book Chapter

      Pages 29-52

      Reinforcement Learning

    4. No Access

      Book Chapter

      Pages 53-70

      Proof-of-Concept: Information Seeking Strategies

  4. Policy Learning in Simulated Environments

    1. Front Matter

      Pages 71-71

    2. No Access

      Book Chapter

      Pages 73-83

      The Bootstrapping Approach to Developing Reinforcement Learning-based Strategies

    3. No Access

      Book Chapter

      Pages 85-99

      Data Collection in a Wizard-of-Oz Experiment

    4. No Access

      Book Chapter

      Pages 101-163

      Building Simulation Environments from Wizard-of-Oz Data

  5. Evaluation and Application

    1. Front Matter

      Pages 165-165

    2. No Access

      Book Chapter

      Pages 167-188

      Comparing Reinforcement and Supervised Learning of Dialogue Policies with Real Users

    3. No Access

      Book Chapter

      Pages 189-204

      Adaptive Natural Language Generation

    4. No Access

      Book Chapter

      Pages 205-212

      Conclusion

  6. Back Matter

    Pages 213-253