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Process optimization
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#	Item
601	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
602	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
603	Process Optimization Positioning Paper The real driving force for process optimization is efficiency. Companies understand that if they can function more efficiently, it will improve their bottom line. Add to Reading List Source URL: www.ingenuus.com Language: English - Date: 2009-01-09 16:02:18 Business Business process Systems engineering Enterprise modelling DMAIC Infrastructure optimization Automation Business process management Business process modeling Management Process management Information technology management
604	Bounded Real-Time Dynamic Programming: RTDP with monotone upper bounds and performance guarantees H. Brendan McMahan Maxim Likhachev Geoffrey J. Gordon Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2005-06-06 17:32:57 Control theory Order theory Theoretical computer science Functional analysis Monotonic function Real analysis Markov decision process Mathematical optimization Algorithm Mathematical analysis Mathematics Operations research
605	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
606	Planning in Cost-Paired Markov Decision Process Games H. Brendan McMahan, Geoffrey J. Gordon October 24, 2003 Abstract We describe applications and theoretical results for a new class of two-player planning games. In Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-06-01 19:40:27 Applied mathematics Markov decision process Minimax Matrix Mathematical optimization Dynamic programming Linear programming Differential equation Vector space Mathematics Algebra Operations research
607	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
608	Process Optimization Pyramid Data Sheet Automate Optimize Evaluate Add to Reading List Source URL: www.ingenuus.com Language: English - Date: 2009-01-09 16:04:56 Information technology management Systems engineering Business process Network performance Infrastructure optimization Process optimization Automation Mathematical optimization Supply chain Management Business Process management
609	An Accelerated Gradient Method for Distributed Multi-Agent Planning with Factored MDPs Geoffrey J. Gordon Machine Learning Department Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-11-28 10:53:32 Convex optimization Operations research Linear programming Gradient descent Duality Interior point method Lagrangian relaxation Reinforcement learning Markov decision process Mathematical optimization Numerical analysis Mathematical analysis
610	White Paper Ingenuus Active Packet Technology Provides: Add to Reading List Source URL: www.ingenuus.com Language: English - Date: 2009-01-09 16:01:38 Systems engineering Information technology management Business process Quality Business process management Infrastructure optimization Workflow Business process automation Six Sigma Management Business Process management

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