Springer / New York / Berlin / Vancouver / Cambridge / Beijing / Anchorage / /
Company
Neural Systems / Neural Information Processing Systems / ATR Computational Neuroscience Laboratories / Neural Networks / MIT Press / Proc Natl Acad Sci U S A / Intelligent Robotics Systems / Mti / Motor Control Laboratory / /
Country
United States / /
Currency
pence / USD / /
Facility
University of Southern California / American Institute of Physics Conference Series / /
IndustryTerm
open chain / stochastic systems / dimensional control systems / viscosity solutions / learning systems / Analytical solutions / individual algorithms / highdimensional continuous state-action systems / nonlinear stochastic systems / reinforcement learning systems / monte carlo em algorithm / stochastic multi-agent systems / gradient algorithms / control address systems / probability matching algorithms / gradient algorithm / autonomous learning systems / stochastic dynamical systems / actor-critic algorithms / stochastic control systems / /
Organization
National Science Foundation / MIT / American Institute of Physics Conference Series / University of Southern California / Department of Defense / /
Person
Integral Approach Evangelos Theodorou / Yaakov Engel / Mohammad Ghavamzadeh / Mete Soner / Richard S. Sutton / Stochastic Differential / Marc P. Deisenroth / Georgios Kontes / Emanuel Todorov / Nikos Vlassis / Marc Toussaint / Jonas Buchli / Carl E. Rasmussen / Andrew G. Barto / Robert F. Stengel / Christos Dimitrakakis / Jan Peters / Michail G. Lagoudakis / Savas Piperidis / /
Position
straight forward / rt / researcher / kind rt / head / general control system / immediate cost function rt / Forward / /
Product
pseudo / PI2 / /
ProvinceOrState
Alaska / British Columbia / New York / /
PublishedMedium
Machine Learning / Journal of Artificial Intelligence Research / /
Region
Southern California / /
Technology
Neuroscience / monte carlo em algorithm / individual algorithms / PI2 algorithm / probability matching algorithms / RL algorithms / Machine learning / 2400 Algorithm / resulting algorithm / gradient algorithms / interesting algorithm / PoWER algorithm / Bayesian actor-critic algorithms / gradient algorithm / /
Reinforcement Learning of Motor Skills in High Dimensions: A Path Integral Approach