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Stochastic control
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#	Item
271	Introduction to Estimation (KC[removed]ESTIMATION TUTORIAL QUESTIONS Add to Reading List Source URL: www.acfr.usyd.edu.au Language: English - Date: 2007-05-20 20:20:09 Cybernetics Stochastic differential equations Robot control Kalman filter Normal distribution Differential equation Multivariate normal distribution Extended Kalman filter Gaussian function Statistics Control theory Mathematical analysis
272	Two stochastic dynamic programming problems by model-free actor-critic recurrent-network learning in non-Markovian settings Eiji Mizutani Stuart E. Dreyfus Add to Reading List Source URL: www.ieor.berkeley.edu Language: English - Date: 2008-07-16 21:59:54 Dynamic programming Stochastic control Markov models Operations research Markov decision process Reinforcement learning Recurrent neural network Statistics Control theory Markov processes
273	Ocean Data Assimilation Robert N. Miller College of Oceanic and Atmospheric Sciences Oregon State University Corvallis, OR 97330 Add to Reading List Source URL: www.jcsda.noaa.gov Language: English - Date: 2009-09-24 16:59:34 Systems theory Estimation theory Stochastic differential equations Data assimilation Weather prediction Calculus of variations Kalman filter Differential operator Control theory Statistics Cybernetics
274	MesonetLocations_edit.xls Add to Reading List Source URL: www.noaa.inel.gov Language: English - Date: 2014-09-15 14:54:59 Stochastic processes Control theory Signal processing
275	Simplicial Label Correcting Algorithms for Continuous Stochastic Shortest Path Problems Dmitry S. Yershov Steven M. LaValle Add to Reading List Source URL: msl.cs.uiuc.edu Language: English - Date: 2013-09-10 21:22:09 Stochastic control Optimal control Dynamic programming Markov models Mathematical optimization Hamilton–Jacobi–Bellman equation Markov decision process Discretization Stochastic differential equation Statistics Mathematics Control theory
276	Accessible Parking Southbank t ke S St Add to Reading List Source URL: www.portphillip.vic.gov.au Language: English - Date: 2014-08-14 22:14:11 Vapor pressures of the elements Control theory Signal processing Stochastic processes
277	Kalman Filter Derivation Kalman Filter Derivation Add to Reading List Source URL: www.aticourses.com Language: English - Date: 2015-03-30 16:37:04 Systems theory Robot control Linear filters Stochastic differential equations Kalman filter Covariance Matrix calculus Kálmán Extended Kalman filter Control theory Statistics Cybernetics
278	An Experimental Comparison of Classical, FOND and Probabilistic Planning Andreas Hertle, Christian Dornhege, Thomas Keller, Robert Mattm¨ uller, Manuela Ortlieb, and Bernhard Nebel University of Freiburg, 79110 Freiburg Add to Reading List Source URL: gki.informatik.uni-freiburg.de Language: English - Date: 2014-07-07 07:15:35 Markov processes Stochastic control Planning Motion planning Markov decision process Reinforcement learning Statistics Automated planning and scheduling Dynamic programming
279	Generalized Value Functions for Large Action Sets Jason Pazis Ronald Parr Department of Computer Science, Duke University, Durham, NC[removed]USA Abstract Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2011-05-11 14:49:02 Dynamic programming Abstract algebra Linear algebra Stochastic control Markov processes Markov decision process Reinforcement learning Function Q-learning Mathematics Algebra Statistics
280	Analyzing Feature Generation for Value-Function Approximation Ronald Parr Christopher Painter-Wakefield Department of Computer Science, Duke University, Durham, NC[removed]USA Lihong Li Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2007-04-23 20:09:21 Mathematical optimization Dynamic programming Stochastic control Equations Numerical analysis Automatic basis function construction Reinforcement learning Proto-value functions Bellman equation Statistics Mathematics Mathematical analysis

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