What is it about?
To enable automated and personalised decision-making, this work introduces seminal design for deep reinforcement learning and behavior informatics of such complex processes. This design models multi-party interactions over time and recommends next best actions for smart decision-making.
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Why is it important?
The first work introducing personalized next-best action recommendation and multi-party interaction learning, by integrating deep reinforcement learning, interaction learning, and behavior informatics. These enable automated and personalised decision-making
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This page is a summary of: Personalized next-best action recommendation with multi-party interaction learning for automated decision-making, PLoS ONE, January 2022, PLOS,
DOI: 10.1371/journal.pone.0263010.
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