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Two Approaches to Building Collaborative, Task-Oriented Dialog Agents through Self-Play
- Publication Year :
- 2021
-
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.<br />Comment: 4 pages, 5 figures
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2109.09597
- Document Type :
- Working Paper