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Stochastic programming
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301	Written by Peter Harnik What Makes it Great and How to Get There The Excellent Add to Reading List Source URL: www.csu.edu Language: English - Date: 2013-10-02 12:59:17 Control theory Statistics Classical cipher Four-square cipher Stochastic differential equations Computer programming Mathematics
302	Planning with Macro-Actions in Decentralized POMDPs Christopher Amato, George D. Konidaris and Leslie P. Kaelbling MIT CSAIL Cambridge, MA 02139 {camato, gdk, lpk}@csail.mit.edu Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2014-02-13 11:20:11 Systems theory Mathematical optimization Markov processes Stochastic control Multi-agent systems Partially observable Markov decision process Automated planning and scheduling Markov decision process Action selection Statistics Dynamic programming Control theory
303	Exploiting Fully Observable and Deterministic Structures in Goal POMDPs Add to Reading List Source URL: www.ida.liu.se Language: English - Date: 2013-08-29 10:13:42 Stochastic control Partially observable Markov decision process Markov decision process Automated planning and scheduling Bayesian network FO S0 Finite-state machine Macro Statistics Dynamic programming Markov processes
304	Use of Conditional Value-at-Risk in Stochastic Programs with Poorly Defined Distributions1 Pavlo Krokhmal Department of Industrial and Systems Engineering University of Florida Add to Reading List Source URL: www.ise.ufl.edu Language: English - Date: 2013-06-15 17:47:09 Linear programming Applied mathematics Combinatorial optimization Convex optimization Relaxation Assignment problem Optimization problem Weapon target assignment problem Mathematical optimization Mathematics Operations research
305	Selecting the State-Representation in Reinforcement Learning Odalric-Ambrym Maillard INRIA Lille - Nord Europe [removed] Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2011-11-02 05:20:38 Markov processes Dynamic programming Markov decision process Stochastic control Distribution Multi-armed bandit Statistics Mathematical analysis Generalized functions
306	Planning-based Prediction for Pedestrians Brian D. Ziebart1 Nathan Ratliff1 Garratt Gallagher1 Christoph Mertz1 Kevin Peterson1 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-10-08 23:01:33 Mathematical optimization Cybernetics Markov models Control theory Stochastic control Reinforcement learning Bellman equation Motion planning Kalman filter Statistics Dynamic programming Systems theory
307	SELECTED PUBLICATIONS Stan Uryasev[removed]. 3. Add to Reading List Source URL: www.ise.ufl.edu Language: English - Date: 2013-06-15 17:47:21 Mathematical optimization Stochastic optimization Stochastic Linear programming Operations research Mathematics Applied mathematics
308	V Contents Preface IX Part One Background Add to Reading List Source URL: www.wiley-vch.de Language: English - Date: 2010-05-30 21:03:49 Oil refining Economic model Stochastic programming Robust optimization Stochastic Fluid catalytic cracking Probability and statistics Knowledge Operations research Mathematical optimization Mathematics
309	Partially Observable Markov Decision Processes for Spoken Dialog Systems Jason D. Williams1 Steve Young Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-10-14 15:42:14 Stochastic control Humanâ€“computer interaction Control theory Partially observable Markov decision process Dialog system Automated planning and scheduling Markov decision process Dialog Speech recognition Statistics Dynamic programming Markov processes
310	Natural Belief-Critic: a reinforcement algorithm for parameter estimation in statistical spoken dialogue systems F. Jurˇc´ıcˇ ek, B. Thomson, S. Keizer, F. Mairesse, M. Gaˇsi´c, K. Yu, and S. Young Engineering Depa Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2010-11-01 08:12:32 Dynamic programming Stochastic control Markov models Expectation–maximization algorithm Partially observable Markov decision process Maximum likelihood Reinforcement learning Markov chain Normal distribution Statistics Markov processes Estimation theory

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