Cambridge University Press / Theorem 6 / Princeton University Press / SIAM Journal / Ford / CNS Cyberphysical Systems / /
Country
United States / / /
Event
Business Partnership / /
Facility
Stable Function Approximation / Computer Science University of Illinois / /
IndustryTerm
stochastic systems / path algorithms / motion planning algorithm / toy car / macroscopic mechanical systems / policy iteration algorithms / feedback control law / Generic numerical algorithms / approximate solution / closed form solution / nonlinear systems / label correcting algorithm / closed-form solution / linear systems / value iteration algorithm / control law / numerical solution / /
Organization
Cambridge University / National Science Foundation / Carnegie-Mellon Univ. / Princeton University / National Academy of Sciences / Continuous Stochastic Shortest Path Problems Dmitry S. Yershov Steven M. LaValle Department / School of Computer Science / University of Illinois / /
Person
Munos Moore / William S. Lovejoy / Geoffrey J. Gordon / Dimitri P. Bertsekas / Sean P. Meyn / Ron Alterovitz / Pravin Varaiya / Thierry Simeon / Harold J. Kushner / Stefano Pallottino / Richard Bellman / ABEL C ORRECTING / Edward J. Sondik / Prashanth Konkimalla / Rene Boel / Pieter Abbeel / Ken Goldberg / John N. Tsitsiklis / Dmitry S. Yershov / Richard D. Smallwood / Sang Nguyen / Andrew Moore / R. L. Tweedie / Thomas E. Morton / Giorgio Gallo / Steven M. LaValle / Claudio Sandi / Jur van den Berg / Dmitry S. Yershov Steven / /
Position
editor / model for ω / LQG-MP / controller / /
ProgrammingLanguage
R / V / L / /
ProvinceOrState
Pennsylvania / /
PublishedMedium
The International Journal / Machine Learning / Proceedings of the National Academy of Sciences / Journal of Computational Physics / /
Simplicial Label Correcting Algorithms for Continuous Stochastic Shortest Path Problems Dmitry S. Yershov Steven M. LaValle