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As the field of Spoken Dialogue Systems and Conversational AI grows, so doesthe need for tools and environments that abstract away implementation detailsin order to expedite the development process, lower the barrier of entry to thefield, and offer a common test-bed for new ideas. In this paper, we presentPlato, a flexible Conversational AI platform written in Python that supportsany kind of conversational agent architecture, from standard architectures toarchitectures with jointly-trained components, single- or multi-partyinteractions, and offline or online training of any conversational agentcomponent. Plato has been designed to be easy to understand and debug and isagnostic to the underlying learning frameworks that train each component.

Plato Dialogue System: A Flexible Conversational AI Research Platform