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Stochastic programming
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#	Item
131	Journal of Artificial Intelligence Research–59 Submitted 12/07; publishedA Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains Add to Reading List Source URL: jair.org Language: English - Date: 2009-01-27 12:23:05 Operations research Mathematical optimization Dynamic programming Search algorithms Markov processes Markov decision process Automated planning and scheduling Reinforcement learning Linear programming Mathematics Statistics Applied mathematics
132	Optimization and Control Richard Weber, Michaelmas Term 2014 Contents Schedules Add to Reading List Source URL: www.statslab.cam.ac.uk Language: English - Date: 2014-11-29 06:04:45 Mathematical optimization Dynamic programming Optimal control Stochastic control Bellman equation Markov decision process Kalman filter Optimization problem Secretary problem Control theory Statistics Systems theory
133	FINAL DRAFT PUBLISHED IN IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 1 The Automatic Design of Multi-Objective Ant Colony Optimization Algorithms Add to Reading List Source URL: www.genetic-programming.org Language: English - Date: 2013-06-23 23:44:47 Stochastic optimization Theoretical computer science Ant colony optimization algorithms Mathematical optimization Cybernetics Heuristics Travelling salesman problem Artificial Ants Evolutionary algorithm Mathematics Applied mathematics Operations research
134	Journal of Artificial Intelligence Research337 Submitted 06/08; publishedMonte Carlo Sampling Methods for Approximating Interactive POMDPs Add to Reading List Source URL: jair.org Language: English - Date: 2009-03-24 14:18:15 Probability and statistics Estimation theory Dynamic programming Markov processes Stochastic control Partially observable Markov decision process Particle filter Importance sampling Kalman filter Statistics Control theory Robot control
135	What Makes Some POMDP Problems Easy to Approximate? David Hsu∗ Wee Sun Lee∗ Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2007-10-02 20:38:57 Stochastic control Control theory Partially observable Markov decision process Markov decision process Statistics Dynamic programming Markov processes
136	Genetic Programming as Policy Search in Markov Decision Processes Chris Gearhart P.O. BoxStanford, CA 94309 Add to Reading List Source URL: www.genetic-programming.org Language: English - Date: 2006-11-17 21:29:08 Probability and statistics Markov processes Stochastic control Markov models Mathematical optimization Reinforcement learning Markov decision process Automated planning and scheduling Bellman equation Statistics Mathematics Dynamic programming
137	Covering Number for Efficient Heuristic-Based POMDP Planning Zongzhang Zhang ZHANGZZ @ COMP. NUS . EDU . SG David Hsu DYHSU @ COMP. NUS . EDU . SG Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2014-07-04 06:57:08 Dynamic programming Partially observable Markov decision process Stochastic control Branch and bound NP-complete problems Statistics Mathematics Theoretical computer science
138	Solving Multi-agent Markov Decision Processes: A Forest Management Example Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 17:48:25 Mathematical sciences Markov models Dynamic programming Stochastic control Operations research Reinforcement learning Q-learning Markov decision process Multi-agent system Statistics Markov processes Control theory
139	Journal of Artificial Intelligence Research Submitted 01/05; published 1/06 Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes Add to Reading List Source URL: jair.org Language: English - Date: 2009-08-06 19:20:12 Stochastic control Reinforcement learning Markov decision process Valuation Policy Statistics Dynamic programming Markov processes
140	Stochastic MiniZinc? Andrea Rendl1 , Guido Tack1 , and Peter J. Stuckey2 1 2 Add to Reading List Source URL: andrearendl.com Language: English - Date: 2014-05-29 20:14:05 Applied mathematics Mathematical optimization Statistical randomness Mathematical modeling Estimation theory Stochastic optimization Stochastic programming Stochastic AIMMS Operations research Statistics Mathematics

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