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Intelligent systems sometimes need to infer the probable goals of people, cars, and robots, based on partial observations of their motion.
On information and sufficiency
Solomon Kullback and Richard A Leibler · 1951
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Uwe Franke, Dariu Gavrila, Steffen Gorzig, Frank Lindner, F Puetzold, and Christian Wohler · 1998
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Rapidly-exploring random trees: A new tool for path planning
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Recognition networks for approximate inference in bn20 networks
Quaid Morris · 2001
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Romuald Aufrère, Jay Gowdy, Christoph Mertz, Chuck Thorpe, Chieh-Chih Wang, and Teruko Yata · 2003
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Mark A Beaumont · 2003
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Location-based activity recognition
Lin Liao, Dieter Fox, and Henry Kautz · 2006
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Goal inference as inverse planning
Chris L Baker, Joshua B Tenenbaum, and Rebecca R Saxe · 2007
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1 blog: Probabilistic models with unknown objects
Brian Milch, Bhaskara Marthi, Stuart Russell, David Sontag, Daniel L Ong, and Andrey Kolobov · 2007
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Christophe Andrieu and Gareth O Roberts · 2009
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Avi Pfeffer · 2009
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Church: a language for generative models
Noah Goodman, Vikash Mansinghka, Daniel M Roy, Keith Bonawitz, and Joshua B Tenenbaum · 2012
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Opportunities and challenges with autonomous micro aerial vehicles
Vijay Kumar and Nathan Michael · 2012
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Learning stochastic inverses
Andreas Stuhlmüller, Jacob Taylor, and Noah Goodman · 2013
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Venture: a higher-order probabilistic programming platform with programmable inference
Vikash Mansinghka, Daniel Selsam, and Yura Perov · 2014
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Brian D Ziebart, Nathan Ratliff, Garratt Gallagher, Christoph Mertz, Kevin Peterson, J Andrew Bagnell, Martial Hebert, Anind K Dey, and Siddhartha Srinivasa · 2009
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Particle markov chain monte carlo methods
Christophe Andrieu, Arnaud Doucet, and Roman Holenstein · 2010
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Lightweight implementations of probabilistic programming languages via transformational compilation
David Wingate, Andreas Stuhlmüller, and Noah D Goodman · 2011
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On the chi square and higher-order chi distances for approximating f-divergences
Frank Nielsen and Richard Nock · 2014
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Stan: A probabilistic programming language
Bob Carpenter, Andrew Gelman, Matt Hoffman, Daniel Lee, Ben Goodrich, Michael Betancourt, Michael A Brubaker, Jiqiang Guo, Peter Li, and Allen Riddell · 2016
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Descriptions and examples for the pov-ray raytracer
Friedrich A. Lohmüller · 2017
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