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Statistical theory / Information theory / Bayesian statistics / Philosophy of thermal and statistical physics / Thermodynamic entropy / Entropy / Principle of maximum entropy / Maximum entropy probability distribution / Bayesian network / Statistics / Probability and statistics / Probability


Modeling Interaction via the Principle of Maximum Causal Entropy Brian D. Ziebart J. Andrew Bagnell
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Document Date: 2010-05-10 00:05:22


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City

Zurich / Haifa / /

Company

Cambridge University Press / Strategic Decisions Group / /

Country

Israel / /

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Event

Product Recall / Product Issues / /

Facility

Swiss Federal Institute of Technology / Carnegie Mellon University / /

IndustryTerm

stochastic systems / observable systems / co-location utilities / natural language processing / closed-form solution / online compression / observed systems / value iteration algorithm / /

Organization

School of Computer Science / Cambridge University / Swiss Federal Institute of Technology / Richard King Mellon Foundation / Carnegie Mellon University / Pittsburgh / Quality of Life Technology Center / office of Naval Research MURI N00014-09-1-1052 / /

Person

J. Andrew Bagnell / Brian D. Ziebart / Richard King / /

Position

latent CRF model in the region / author / mechanic / learned controller / particular controller / ethical mechanic / controller / MaxCausalEnt model control the amount / /

Product

edges / /

ProvinceOrState

Pennsylvania / /

PublishedMedium

Machine Learning / Communications of the ACM / Physical Review / /

Technology

natural language processing / value iteration algorithm / Machine Learning / /

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