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- W3200996968 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." @default.
- W3200996968 created "2021-09-27" @default.
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- W3200996968 date "2021-09-20" @default.
- W3200996968 modified "2023-09-27" @default.
- W3200996968 title "Two Approaches to Building Collaborative, Task-Oriented Dialog Agents through Self-Play." @default.
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