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Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI
[article]
2020
arXiv
pre-print
Intelligent assistants that follow commands or answer simple questions, such as Siri and Google search, are among the most economically important applications of AI. Future conversational AI assistants promise even greater capabilities and a better user experience through a deeper understanding of the domain, the user, or the user's purposes. But what domain and what methods are best suited to researching and realizing this promise? In this article we argue for the domain of voice document
arXiv:2008.12095v1
fatcat:24o74xfhoba6hla7cbcdbijo6i