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Stochastic programming
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291	Contents: 1. Dynamic Programming Model for the Valuation of the Bermudan and American Options (with T. Sz´ antai). 2. Bounds on the Values of Financial Derivatives under Partial Information of the Asset Price Distribut Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2007-11-23 14:06:09 Options Stochastic calculus Equations Stochastic differential equation Black–Scholes Brownian motion Statistics Stochastic processes Mathematical finance
292	Numerical Evaluation of Approximation Methods in Stochastic Programming ¨chler and Stefan Vigerske Christian Ku Humboldt–Universit¨at zu Berlin, Unter den Linden 6, D–10099 Berlin, Germany, Add to Reading List Source URL: edoc.hu-berlin.de Language: English - Date: 2009-10-31 22:45:52 Signal processing Sinc function
293	xi Preface There has been much recent progress in stochastic optimization problems from both a theoretical and a practical perspective. Stochastic programming is the study of practical procedures for decision making und Add to Reading List Source URL: www.ise.ufl.edu Language: English - Date: 2013-06-15 17:49:05 Mathematical analysis Mathematical sciences Stochastic programming Stochastic optimization Stochastic Reuven Rubinstein Global optimization Mathematical optimization Operations research Mathematics
294	Stochastic Lagrangian Relaxation applied to Power Scheduling in a Hydro-Thermal System under Uncertainty M.P. Nowak and W. Romisch Institut fur Mathematik Humboldt-Universitat Berlin Add to Reading List Source URL: edoc.hu-berlin.de Language: English - Date: 2009-10-31 22:42:04 Mathematics Mathematical analysis Relaxation Stochastic programming Stochastic Linear programming Dynamic programming Duality Global optimization Mathematical optimization Operations research Convex optimization
295	Decentralized Bayesian Reinforcement Learning for Online Agent Collaboration A. Rogers1 , N. R. Jennings1 S. McClean4 , G. Parr4 W. T. L. Teacy1 , G. Chalkiadakis2 Add to Reading List Source URL: eprints.soton.ac.uk Language: English - Date: 2012-06-06 11:47:06 Bayesian statistics Stochastic control Markov models Markov decision process Reinforcement learning Conjugate prior Bayesian inference Q-learning Action selection Statistics Dynamic programming Markov processes
296	Reinforcement Learning in POMDPs Without Resets Eyal Even-Dar Sham M. Kakade School of Computer Science Computer and Information Science University of Pennsylvania Tel-Aviv University Add to Reading List Source URL: www.ijcai.org Language: English - Date: 2005-07-11 15:37:28 Dynamic programming Stochastic control Markov models Partially observable Markov decision process Markov decision process Markov chain Reinforcement learning Statistics Markov processes Control theory
297	Weak Constraints Network Optimiser Cyrille Berger Abstract— We present a general framework to estimate the parameters of both a robot and landmarks in 3D. It relies on the use of a stochastic gradient descent method fo Add to Reading List Source URL: www.ida.liu.se Language: English - Date: 2012-10-09 04:46:25 Pose Robot control Graph Tree Mathematics Decomposition method Computer vision Artificial intelligence Constraint programming
298	Contents Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi Introduction to the Theory of Probablistic F Add to Reading List Source URL: www.ise.ufl.edu Language: English - Date: 2013-06-15 17:49:03 Applied mathematics Probability and statistics Stochastic optimization Stochastic programming Monte Carlo method Stochastic Economic model IOSO Global optimization Mathematical optimization Mathematics Operations research
299	v Contents Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xi Output analysis for approximated stochastic programs[removed]J. Dupaˇcov´a Add to Reading List Source URL: www.ise.ufl.edu Language: English - Date: 2013-06-15 17:49:03 Mathematical optimization Operations research Stochastic optimization R. Tyrrell Rockafellar Numerical analysis Combinatorial optimization Economic model Stochastic programming Subgradient method Mathematical analysis Applied mathematics Mathematics
300	PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning Marc Pickett [removed] Andrew G. Barto Add to Reading List Source URL: www.marcpickett.com Language: English - Date: 2013-11-21 13:28:34 Stochastic control Reinforcement learning Q-learning Markov decision process Decision making Algorithm Machine learning Statistics Dynamic programming Markov processes

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