Social Hierarchical Learning

Authors

  • Bradley Hayes Yale University

DOI:

https://doi.org/10.1609/aaai.v29i1.9266

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, multi-agent task-level planning, and learning assistive behaviors from demonstration.

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Published

2015-03-04

How to Cite

Hayes, B. (2015). Social Hierarchical Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 29(1). https://doi.org/10.1609/aaai.v29i1.9266