Social hierarchical learning

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Abstract

My dissertation research focuses on the application of hierarchical learning and heuristics based on social signals to solve challenges inherent to enabling human-robot collaboration. I approach this problem through advancing the state of the art in building hierarchical task representations, multiagent task-level planning, and learning assistive behaviors from demonstration.

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APA

Hayes, B. (2015). Social hierarchical learning. In Proceedings of the National Conference on Artificial Intelligence (Vol. 6, pp. 4237–4238). AI Access Foundation. https://doi.org/10.1609/aaai.v29i1.9266

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