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Stochastic programming
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#	Item
91	ORIGINAL RESEARCH ARTICLE published: 06 January 2014 doi: fnbotNEUROROBOTICS Add to Reading List Source URL: juxi.net Language: English - Date: 2014-01-13 11:29:10 Dynamic programming Stochastic control Markov models Partially observable Markov decision process Reinforcement learning Markov decision process Automated planning and scheduling Action selection Neurorobotics Statistics Markov processes Artificial intelligence
92	Energy Technology Systems Analysis Programme TIMES Version 3.3 User Note Stochastic Programming and Tradeoff Analysis in TIMES Add to Reading List Source URL: iea-etsap.org Language: English - Date: 2012-01-11 23:54:31
93	nocommit_revision_final.dvi Add to Reading List Source URL: www.tomsargent.com Language: English - Date: 2015-04-08 13:03:57 Probability and statistics Stochastic differential equations Markov processes Dynamic programming Markov chain Lars Peter Hansen Bellman equation Filtering problem Kalman filter Statistics Control theory Markov models
94	A stochastic programming perspective on nonparametric Bayes Daniel Roy, Vikash Mansinghka, Noah Goodman, Josh Tenenbaum Massachusetts Institute of Technology Abstract: We use Church, a Turing-universal language for stoch Add to Reading List Source URL: danroy.org - Date: 2011-01-31 01:41:07
95	Multi-objective Optimization and Stochastic Programming Models We shall consider now various approaches to mathematical formulation of stochastic programs. Inspiration comes from multi-objective programming. SP PROBLEM Add to Reading List Source URL: www.karlin.mff.cuni.cz Language: English - Date: 2010-03-24 03:37:32
96	SOME HISTORY OF STOCHASTIC PROGRAMMING Early 1950’s: in applications of Linear Programming – unknown values of coefficients: demands, technological coefficients, yields, etc. QUOTATION – Dantzig, Interfaces 20,1990 Add to Reading List Source URL: www.karlin.mff.cuni.cz Language: English - Date: 2008-04-27 02:30:28
97	Stochastic convex optimization Alexander Gasnikov PreMoLab MIPT, HSE, IITP RAS Abstract. We describe contemporary (optimal) methods for numerical solution of stochastic programming problems. These problems arise in Add to Reading List Source URL: www.hse.ru - Date: 2015-03-20 18:17:49
98	mit_ceepr_v8_7sep07_final Add to Reading List Source URL: web.mit.edu Language: English - Date: 2012-07-19 11:14:10 Science Mathematics Equations Dynamic programming Climate change policy Stochastic programming Economics of global warming Bellman equation Economic model Operations research Mathematical optimization Statistics
99	AAAI Proceedings Template Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2005-06-16 09:47:36 Stochastic control Control theory Partially observable Markov decision process Markov decision process Reinforcement learning Dialogue FO Usability Statistics Dynamic programming Markov processes
100	Scaling Up POMDPs for Dialog Management: The “Summary POMDP” Method Jason D. Williams and Steve Young Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK . Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2005-07-01 06:49:10 Stochastic control Control theory User interfaces Partially observable Markov decision process Dialog system Markov decision process Dialogue Mode Statistics Dynamic programming Markov processes

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