Two Approaches to Building Collaborative, Task-Oriented Dialog Agents through Self-Play

• URL: http://arxiv.org/abs/2109.09597v1
• Date: Mon, 20 Sep 2021 14:52:25 GMT
• Title: Two Approaches to Building Collaborative, Task-Oriented Dialog Agents through Self-Play
• Authors: Arkady Arkhangorodsky, Scot Fang, Victoria Knight, Ajay Nagesh, Maria Ryskina, Kevin Knight
• Abstract summary: Task-oriented dialog systems are often trained on human/human dialogs, such as collected from Wizard-of-Oz interfaces. This paper investigates two approaches to training agent-bots and user-bots through self-play, in which they autonomously explore an API environment.
• Score: 18.88705140683795
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Task-oriented dialog systems are often trained on human/human dialogs, such as collected from Wizard-of-Oz interfaces. However, human/human corpora are frequently too small for supervised training to be effective. This paper investigates two approaches to training agent-bots and user-bots through self-play, in which they autonomously explore an API environment, discovering communication strategies that enable them to solve the task. We give empirical results for both reinforcement learning and game-theoretic equilibrium finding.

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