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Bayesian statistics / Graphical models / Statistical models / Markov models / Markov chain / Reinforcement learning / Bayesian network / Markov decision process / Maximum likelihood / Statistics / Probability and statistics / Statistical theory


Human Behavior Modeling with Maximum Entropy Inverse Optimal Control Brian D. Ziebart, Andrew Maas, J.Andrew Bagnell, and Anind K. Dey School of Computer Science Carnegie Mellon University Pittsburgh, PA[removed]bziebart@c
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Document Date: 2009-07-28 15:01:21

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File Size: 661,48 KB

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City

Pittsburgh / /

Company

Simmons / Russell / Intelligent Transportation Systems / /

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Facility

Computer Science Carnegie Mellon University / University of California / /

IndustryTerm

human behavior modeling applications / forward-backward algorithm / transportation routine modeling / road network / estimated travel time route / transportation routines / travel time / ubiquitous computing applications / ubiquitous computing environments / modal transportation / energy / /

MarketIndex

Russell 2000 / /

Organization

World Congress / National Science Foundation / Cognitive Science Society / Society of Automative Engineers / Anind K. Dey School of Computer Science Carnegie Mellon University Pittsburgh / University of California / Irvine / /

Person

Max Margin / Markov Chain / J.Andrew Bagnell / Brian D. Ziebart / Patterson / John Krumm / Eric Oatneal / Jerry Campolongo / Na / Route Modeling / Andrew Maas / Route Modeling Our / /

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Position

random fields model / Driver / ıve Model / D. J. / Model / model for driver route prediction / planner / probabilistic model / /

ProvinceOrState

Pennsylvania / California / /

PublishedMedium

Physical Review / /

Technology

artificial intelligence / GPS / planning algorithm / machine learning / simulation / forward-backward algorithm / /

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