Sriram Gopalakrishnan, Ph.D.

Sriram Gopalakrishnan, Ph.D.

AI Research Lead at J.P. Morgan Chase | Sequential-Decision Making Problems, Human-AI Interaction, & Generative AI

Word2HTN: Learning Task Hierarchies Using Statistical Semantics and Goal Reasoning

Published in 4th Workshop on Goal Reasoning at IJCAI 2016, 2016

Recommended citation: Gopalakrishnan, S., Muñoz-Avila, H., & Kuter, U. (2016). Word2HTN: Learning Task Hierarchies Using Statistical Semantics and Goal Reasoning. In IJCAI Goal Reasoning Workshop. https://arxiv.org/abs/1607.01234

Abstract

Preliminary formulation of statistical semantic word embedding clustering for Hierarchical Task Network discovery.

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Recommended citation: Gopalakrishnan, S., Muñoz-Avila, H., & Kuter, U. (2016). Word2HTN: Learning Task Hierarchies Using Statistical Semantics and Goal Reasoning. In IJCAI Goal Reasoning Workshop.