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Stochastic optimization
Results: 750

#	Item
661	Journal of Machine Learning Research[removed]883 Submitted 5/13; Revised 11/13; Published 3/14 Policy Evaluation with Temporal Differences: A Survey and Comparison Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-03-18 16:49:21 Markov models Stochastic control Reinforcement learning Markov decision process Bellman equation Markov chain Valuation Pi Mathematical optimization Statistics Dynamic programming Markov processes
662	Sample-Based Information-Theoretic Stochastic Optimal Control Rudolf Lioutikov1 and Alexandros Paraschos1 and Jan Peters1,2 and Gerhard Neumann1 Abstract— Many Stochastic Optimal Control (SOC) approaches rely on sample Add to Reading List Source URL: www.ias.tu-darmstadt.de Language: English - Date: 2014-03-05 05:21:13 Control theory Statistical theory Systems theory Markov models Estimation theory Trajectory optimization Reinforcement learning Optimal control Maximum likelihood Mathematical optimization Statistics Operations research
663	Journal of Machine Learning Research[removed]980 Submitted 4/11; Revised 5/13; Published 3/14 Natural Evolution Strategies Daan Wierstra Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-03-21 14:11:50 Stochastic optimization Statistical theory Statistical models Natural evolution strategy Fisher information Maximum likelihood CMA-ES Normal distribution Mixture model Statistics Estimation theory Evolutionary algorithms
664	ASA OPTIONS Lester Ingber Abstract Adaptive Simulated Annealing (ASA) is a C-language code that finds the best global fit of a nonlinear cost-function over a D-dimensional space. ASA has over 100 OPTIONS to provide robus Add to Reading List Source URL: www.ingber.com Language: English - Date: 2011-06-15 18:00:58 Adaptive simulated annealing Mathematical optimization Mathematics Simulated annealing Stochastic optimization Maxwell–Boltzmann distribution Metropolis–Hastings algorithm Partition function Annealing Monte Carlo methods Numerical analysis Mathematical analysis
665	Solving POMDPs from Both Sides: Growing Dual Parsimonious Bounds Nicholas Armstrong-Crews Geoffrey Gordon Manuela Veloso Add to Reading List Source URL: www.aaai.org Language: English - Date: 2008-06-14 18:56:47 Stochastic control Mathematical sciences Operations research Markov models Partially observable Markov decision process Markov decision process Reinforcement learning Mathematical optimization Linear programming Statistics Markov processes Dynamic programming
666	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: 2003-06-24 09:15:18 Linear algebra Dynamic programming Markov processes Stochastic control Markov decision process Linear programming Mathematical optimization Algorithm Matrix Mathematics Algebra Operations research
667	Lagrangian Relaxation for Large-Scale Multi-Agent Planning∗ (Extended Abstract) Geoffrey J. Gordon† , Pradeep Varakantham‡ , William Yeoh‡ , Hoong Chuin Lau‡ , Ajay S. Aravamudhan‡ and Shih-Fen Cheng‡ † Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-02-29 09:16:26 Convex optimization Dynamic programming Markov processes Stochastic control Lagrangian relaxation Duality Markov decision process Relaxation Randomized rounding Mathematical optimization Statistics Mathematical analysis
668	NBER WORKING PAPER SERIES HOW TO SOLVE DYNAMIC STOCHASTIC MODELS COMPUTING EXPECTATIONS JUST ONCE Kenneth L. Judd Lilia Maliar Add to Reading List Source URL: stanford.edu Language: English - Date: 2011-10-06 13:25:52 Mathematical analysis Systems theory Bellman equation Control theory Dynamic programming Integral Differential equation Numerical integration Polynomial Mathematics Equations Mathematical optimization
669	Planning for Markov Decision Processes with Sparse Stochasticity Maxim Likhachev School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2005-01-16 14:16:52 Dynamic programming Markov processes Stochastic control Operations research Equations Markov decision process A* search algorithm Automated planning and scheduling Mathematical optimization Statistics Mathematics Control theory
670	Appears in the 6th International Conference on Information Fusion, pp 1110–1117, Cairns, Australia[removed]Determining possible avenues of approach using ANTS Pontus Svenson Hedvig Sidenbladh Add to Reading List Source URL: www.nada.kth.se Language: English - Date: 2003-09-10 05:27:29 Myrmicinae Symbiosis Ant colony optimization algorithms Stochastic optimization Ant Swarm behaviour Atta Swarm intelligence Them! Biology Zoology Entomology

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