ML Anthology

Social Hierarchical Learning

Bradley Hayes
AAAI 2015 pp. 4237-4238
doi:10.1609/AAAI.V29I1.9266 /aaai/2015/hayes2015aaai-social/

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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Cite

Text

Hayes. "Social Hierarchical Learning." AAAI Conference on Artificial Intelligence, 2015. doi:10.1609/AAAI.V29I1.9266

Markdown

[Hayes. "Social Hierarchical Learning." AAAI Conference on Artificial Intelligence, 2015.](https://mlanthology.org/aaai/2015/hayes2015aaai-social/) doi:10.1609/AAAI.V29I1.9266

BibTeX

@inproceedings{hayes2015aaai-social,
  title     = {{Social Hierarchical Learning}},
  author    = {Hayes, Bradley},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2015},
  pages     = {4237-4238},
  doi       = {10.1609/AAAI.V29I1.9266},
  url       = {https://mlanthology.org/aaai/2015/hayes2015aaai-social/}
}