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Modeling Interaction via the Principle of Maximum Causal Entropy

Brian D. Ziebart, J. Andrew (Drew) Bagnell, and Anind Dey
International Conference on Machine Learning , June, 2010.


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Keywords
Maximum Entropy, Causal Entropy, interaction, inverse optimal control, game theory

Notes
Sponsor: NSF Quality of Life Technology Center, ONR MURI: Reasoning in Reduced Information Spaces
Associated Center(s) / Consortia: Quality of Life Technology Center

Text Reference
Brian D. Ziebart, J. Andrew (Drew) Bagnell, and Anind Dey, "Modeling Interaction via the Principle of Maximum Causal Entropy," International Conference on Machine Learning , June, 2010.

BibTeX Reference
@inproceedings{Ziebart_2010_6590,
   author = "Brian D. Ziebart and J. Andrew (Drew) Bagnell and Anind Dey",
   title = "Modeling Interaction via the Principle of Maximum Causal Entropy",
   booktitle = "International Conference on Machine Learning ",
   month = "June",
   year = "2010",
}

The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
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