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Stochastic programming
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351	Policy search by dynamic programming J. Andrew Bagnell Carnegie Mellon University Pittsburgh, PA[removed]Andrew Y. Ng Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-03-05 16:57:09 Markov processes Applied mathematics Markov models Dynamic programming Stochastic control Reinforcement learning Partially observable Markov decision process Mathematical optimization Markov chain Statistics Operations research Control theory
352	Journal of Machine Learning Research[removed]Submitted 11/10; Published - Deterministic-Probabilistic Models For Partially Observable Reinforcement Learning Problems Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2010-11-25 21:48:41 Stochastic control Partially observable Markov decision process Reinforcement learning Bayesian statistics Markov model Markov decision process Automated planning and scheduling Algorithm Machine learning Statistics Dynamic programming Markov processes
353	G:AcadsAutonialarmgraphsother formatspsdistr.eps Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2005-01-21 17:02:57 Partially observable Markov decision process Stochastic control Bayesian statistics CUSUM Maximum likelihood Prior probability Normal distribution Thresholding Statistics Estimation theory Dynamic programming
354	Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation∗ Nicol N. Schraudolph Jin Yu Douglas Aberdeen Statistical Machine Learning, National ICT Australia, Canberra {nic.schraudolph,douglas.aberdeen}@nicta Add to Reading List Source URL: nic.schraudolph.org Language: English - Date: 2011-07-24 10:20:10 Neural networks Stochastic optimization Dynamic programming Markov processes Stochastic control Partially observable Markov decision process Conjugate gradient method Backpropagation Reinforcement learning Numerical analysis Statistics Mathematics
355	Curriculum Vitae Tamra J. Carpenter DIMACS Rutgers University 96 Frelinghuysen Road Piscataway, NJ[removed] Add to Reading List Source URL: dimacs.rutgers.edu Language: English - Date: 2006-10-31 09:57:49 Applied mathematics Theoretical computer science DIMACS Robust optimization Telcordia Technologies Mathematical Programming Society International Teletraffic Congress Stochastic optimization Institute for Operations Research and the Management Sciences Operations research Mathematics Mathematical optimization
356	Planning in the Presence of Cost Functions Controlled by an Adversary H. Brendan McMahan Geoffrey J Gordon Avrim Blum Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2003-07-07 14:24:19 Linear algebra Dynamic programming Markov processes Stochastic control Markov decision process Linear programming Mathematical optimization Algorithm Matrix Mathematics Algebra Operations research
357	Stochastic Programming (SP) with EMP 1 Introduction This chapter1 describes the stochastic programming (SP) extension of GAMS EMP. We build a stochastic model based on a Add to Reading List Source URL: www.gams.com Language: English - Date: 2014-09-02 04:00:18 Probability and statistics Estimation theory Random variable Randomness Normal distribution Stochastic optimization Sampling Variable Chi-squared distribution Statistics Mathematics Probability theory
358	Microsoft Word - B-5-Kardes.doc Add to Reading List Source URL: www.usc.edu Language: English - Date: 2008-05-28 06:23:39 Operations research Mathematical optimization Statistical randomness Stochastic Robust optimization Economic model Monte Carlo method Game theory Stochastic programming Mathematics Science Applied mathematics
359	Abstract This thesis is organized into two parts, one for my main area of research in the field of stochastic games, and the other for my contributions in the area of service systems. We first provide an abstract for my Add to Reading List Source URL: etd.ncsi.iisc.ernet.in Language: English - Date: 2014-04-23 01:33:27 Applied mathematics Operations research Game theory Stochastic optimization Nonlinear programming Stochastic Markov decision process Karush–Kuhn–Tucker conditions Algorithm Mathematical optimization Mathematics Statistics
360	c 2010 INFORMS \| isbn[removed]4 doi[removed]educ[removed]INFORMS holds copyright to this article and distributed this copy as a courtesy to the author(s). Additional information, including rights and permissi Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2010-10-20 11:50:39 Queueing theory Markov models Mathematical optimization Queueing model Markov chain Optimal control Markov decision process Dynamic programming Poisson process Statistics Markov processes Stochastic processes

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