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Stochastic programming
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101	Q IWA Publishing 2008 Journal of Hydroinformatics \| 10.3 \| Honey-bee mating optimization (HBMO) algorithm in deriving optimal operation rules for reservoirs Add to Reading List Source URL: www.iwaponline.com Language: English - Date: 2008-06-09 06:54:42 Operations research Cybernetics Ant colony optimization algorithms Stochastic optimization Linear programming Genetic algorithm Algorithm Search algorithm Travelling salesman problem Mathematics Applied mathematics Mathematical optimization
102	Journal of Computational and Applied Mathematics–105 www.elsevier.com/locate/cam Hydrodynamical methods for analyzing longest increasing subsequences a Add to Reading List Source URL: dutiosb.twi.tudelft.nl Language: English - Date: 2002-06-26 04:17:32 Probability theory Dynamic programming Longest increasing subsequence Poisson process Point process Convergence of random variables Permutation Statistics Stochastic processes Combinatorics
103	ON-LINE POLICY OPTIMISATION OF BAYESIAN SPOKEN DIALOGUE SYSTEMS VIA HUMAN INTERACTION M. Gaˇsi´c, C. Breslin, M. Henderson, D. Kim, M. Szummer, B. Thomson, P. Tsiakoulis and S. Young Cambridge University Engineering De Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-11-29 17:55:40 Stochastic control Bayesian statistics Partially observable Markov decision process Simulation Gaussian process Dialogue Markov decision process Machine learning Supervised learning Statistics Dynamic programming Markov processes
104	Dynamic fluid-based scheduling in a multi-class abandonment queue M. Larra˜ naga2,5 , U. Ayesta2,3,4,5 , I.M. Verloop1,5 1 CNRS, IRIT, Toulouse, France. 2 Add to Reading List Source URL: verloop.perso.enseeiht.fr Language: English - Date: 2013-08-01 09:20:46 Operations research Stochastic processes Dynamic programming Queueing theory Optimal control Asymptotically optimal algorithm Markov decision process Fluid queue Prey switching Statistics Mathematical sciences Mathematical optimization
105	Towards a Principled General Approach to Motion Planning under Uncertainty David Hsu National University of Singapore Add to Reading List Source URL: www.cse.unr.edu Language: English - Date: 2012-12-20 19:29:32 Control theory Robot Motion Mathematical sciences Motion planning Cybernetics Index of robotics articles Dynamic programming Partially observable Markov decision process Stochastic control
106	Parallel Branch-and-Bound for Two-Stage Stochastic Integer Optimization Akhil Langer‡ , Ramprasad Venkataraman‡ , Udatta Palekar∗ , Laxmikant V. Kale‡ ‡ Department of Computer Science, ∗ College of Business Add to Reading List Source URL: charm.cs.illinois.edu Language: English - Date: 2014-02-05 22:25:28 Theoretical computer science Linear programming Mathematical optimization Travelling salesman problem Stochastic programming Search algorithm Stochastic optimization Sudoku algorithms Operations research Mathematics Applied mathematics
107	Stochastic and fluid index policies for resource allocation problems M. Larran˜aga1,2,5 , U. Ayesta2,3,4,5 , I.M. Verloop1,5 IRIT, 2 rue C. Carmichel, FToulouse, France. 2 CNRS, LAAS, 7 avenue du colonel Roche, F Add to Reading List Source URL: verloop.perso.enseeiht.fr Language: English - Date: 2015-04-01 14:42:52 Systems theory Dynamic programming Operations research Equations Optimal control Bellman equation Multi-armed bandit Markov decision process Relaxation Statistics Mathematical optimization Control theory
108	The Bellman Equation for Power Utility Maximization with Semimartingales Marcel Nutz ETH Zurich, Department of Mathematics, 8092 Zurich, Switzerland First Version: December 9, 2009. This Version: Add to Reading List Source URL: www.math.columbia.edu Language: English - Date: 2011-07-12 11:24:16 Mathematical optimization Equations Operations research Semimartingale Bellman equation Martingale Dynamic programming Stochastic calculus Optimal control Statistics Martingale theory Stochastic processes
109	Using Iterated Reasoning to Predict Opponent Strategies Michael Wunder Michael Kaisers Rutgers University Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:04:26 Science Dynamic programming Markov processes Stochastic control Control theory Partially observable Markov decision process Automated planning and scheduling Multi-agent system Markov decision process Game theory Statistics Artificial intelligence
110	Shared Autonomy via Hindsight Optimization Shervin Javdani, Siddhartha S. Srinivasa, J. Andrew Bagnell The Robotics Institute, Carnegie Mellon University {sjavdani, siddh, dbagnell}@cs.cmu.edu Abstract—In shared autono Add to Reading List Source URL: www.ri.cmu.edu Language: English - Date: 2015-05-06 09:31:40 Stochastic control Virtual reality Control theory Mathematics Partially observable Markov decision process User interface Markov decision process Virtual fixture Lyapunov stability Statistics Dynamic programming Markov processes

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