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Approximate Dynamic Programming

Understanding approximate dynamic programming (ADP) in large industrial settings helps develop practical and high-quality solutions to;

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Handbook of Learning and Approximate Dynamic Programming

* A complete resource to Approximate Dynamic Programming (ADP), including on-line simulation code* Provides a tutorial that readers can use;

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Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and;

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Approximate Dynamic Programming for Dynamic Vehicle Routing

This book provides a straightforward overview for every researcher interested in stochastic dynamic vehicle routing problems (SDVRPs). The;

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Dynamic and Stochastic Multi-Project Planning

This book deals with dynamic and stochastic methods for multi-project planning. Based on the idea of using queueing networks for the;

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Electric Power System Applications of Optimization

of Adaptive Critics Design and practical applications of approximate dynamic programming. To round out the coverage, the final chapter combines;

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Electric Power System Applications of Optimization

of Adaptive Critics Design and practical applications of approximate dynamic programming. To round out the coverage, the final chapter combines;

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Flexible Text Searching

implementations are based on the static and dynamic master-worker methods. Further, the authors propose a hybrid parallel implementation that combines the;

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Introduction to Stochastic Dynamic Programming

Introduction to Stochastic Dynamic Programming is een boek van Sheldon M. Ross;

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Parallel Programming

reader with the understanding of parallel programing so as to analyze the differences in modular programming, recursive programming and dynamic;

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Dynamic Economics

An integrated approach to the empirical application of dynamic optimization programming models, for students and researchers. This book;

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The Design of Approximation Algorithms

search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first section is devoted to a;

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Networked Control Systems with Intermittent Feedback

by the authors over the last several years. This framework is applicable to nonlinear time-varying dynamic plants and controllers with;

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Networked Control Systems with Intermittent Feedback

by the authors over the last several years. This framework is applicable to nonlinear time-varying dynamic plants and controllers with;

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Iterative Dynamic Programming

Dynamic programming is a powerful method for solving optimization problems, but has a number of drawbacks that limit its use to solving;

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Markov Decision Processes in Practice

methods such as policy improvement, successive approximation and infinite state spaces as well as an instructive chapter on Approximate Dynamic;

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Introduction to Stochastic Programming

methods, a new chapter on relationships to other methods including approximate dynamic programming, robust optimization and online methods. The;

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Introduction to Stochastic Programming

methods, a new chapter on relationships to other methods including approximate dynamic programming, robust optimization and online methods. The;

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Approximate Kalman Filtering

dynamic-observation system, under the regular conditions such as perfect data information; complete noise statistics; exact linear modeling; ideal;

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7 days with Dynamic Programming

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Dynamic Programming

This classic book is an introduction to dynamic programming, presented by the scientist who coined the term and developed the theory in its;

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Dynamic Programming

their long-term survival and benefit. To do this successfully means learning something about the dynamics of natural processes, and then using;

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Dynamic Relaxation Method. Theoretical Analysis, Solved Examples and Computer Programming

Dynamic Relaxation Method. Theoretical A is een boek van Osama Mohammed Elmardi;

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Dynamic Web Programming

any online entitlements included with the product. Move beyond basic Web design by learning to create dynamic Web content To create a;

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Foundations of Probabilistic Programming

What does a probabilistic program actually compute? How can one formally reason about such probabili;...

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Dynamic Programming for the day before your coding interview

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Emergent Behavior Detection and Task Coordination for Multiagent Systems

and dynamics. Four aspects of the technical solutions in the book are presented: First, the impact of interaction dynamics on the;

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