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Stochastic programming
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211	Can Home-Owners Benefit from Stochastic Programming Models? — A Study of Mortgage Choice in Denmark∗ Kourosh M. Rasmussen† Claus A. Madsen‡ Add to Reading List Source URL: www.math.ku.dk Language: English - Date: 2013-03-01 05:15:09 Finance Financial economics Economics Mortgage industry of Denmark Mortgage loan Adjustable-rate mortgage Floating interest rate Bond Collateralized mortgage obligation Mortgage United States housing bubble Banking
212	AGH University of Science and Technology in Krakow M.Sc. Thesis Constraint Programming for Stochastic Problems Add to Reading List Source URL: tidel.mie.utoronto.ca Language: English - Date: 2009-12-10 18:18:51 Computing Constraint satisfaction Constraint optimization Local consistency Mathematical optimization Linear programming Logic programming Backtracking Constraint logic programming Constraint programming Software engineering Computer programming
213	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
214	Stochastic MiniZinc? Andrea Rendl1 , Guido Tack1 , and Peter J. Stuckey2 1 2 Add to Reading List Source URL: www.minizinc.org Language: English - Date: 2014-09-12 09:27:50 Applied mathematics Mathematical optimization Statistical randomness Mathematical modeling Estimation theory Stochastic optimization Stochastic programming Stochastic AIMMS Operations research Statistics Mathematics
215	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
216	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
217	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
218	Preprint ANL/MCS-P4030[removed]AN AUGMENTED INCOMPLETE FACTORIZATION APPROACH FOR COMPUTING THE SCHUR COMPLEMENT IN STOCHASTIC OPTIMIZATION § ¨ Add to Reading List Source URL: www.mcs.anl.gov Language: English - Date: 2014-01-24 16:17:33 Operations research Numerical analysis Numerical linear algebra Linear programming Schur complement method Matrix Preconditioner Schur complement Relaxation Mathematics Mathematical optimization Algebra
219	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
220	Coordinated Reinforcement Learning Carlos Guestrin Computer Science Department, Stanford University, Stanford, CA[removed]Michail Lagoudakis Ronald Parr Department of Computer Science, Duke University, Durham, NC 27708 Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2012-05-29 14:42:02 Dynamic programming Markov processes Stochastic control Operations research Functions and mappings Reinforcement learning Q-learning Markov decision process Automated planning and scheduling Statistics Control theory Mathematics

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