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Restless Multi-Armed Bandit in Opportunistic Scheduling

This book provides foundations for the understanding and design of computation-efficient algorithms ;...

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Multi-armed Bandit Allocation Indices

In 1989 the first edition of this book set out Gittins' pioneering index solution to the multi-armed bandit problem and his subsequent;

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Bandit Algorithms

Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly;

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Lucky Luke 33 - The One-Armed Bandit. The One-Armed Bandit, Morris, Paperback

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Optimal Stochastic Scheduling

describes models with stochastic machine breakdowns. Chapters 5 and 6 introduce, respectively, the optimal stopping problems and the multi-armed;

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One Armed Bandit . JAGA JAZZIST, CD

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Multihop Wireless Networks

This book provides an introduction to opportunistic routing an emerging technology designed to improve the packet forwarding reliability;

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PyTorch 1.x Reinforcement Learning Cookbook

solving problems such as the multi-armed bandit problem and the cartpole problem using the multi-armed bandit algorithm and function approximation;

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Evolutionary Computation in Scheduling

, application of sub-population scheduling algorithm in multi-population evolutionary dynamic optimization, task scheduling in cloud environments;

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Intelligent Scheduling of Robotic Flexible Assembly Cells

This book focuses on the design of Robotic Flexible Assembly Cell (RFAC) with multi-robots. Its main contribution consists of a new;

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Intelligent Scheduling of Robotic Flexible Assembly Cells

This book focuses on the design of Robotic Flexible Assembly Cell (RFAC) with multi-robots. Its main contribution consists of a new;

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Task Scheduling for Multi-core and Parallel Architectures

This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures;

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Opportunistic Mobile Social Networks

privacy leakage during opportunistic user profile exchange. The book concludes by introducing a framework for mobile peer rating using a multi;

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Multi-project scheduling with resource transfers

Companies that carry out multiple projects in parallel often pursue a resource strategy that allows multi-tasking and multi-projecting;

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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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Opportunistic Mobile Social Networks

privacy leakage during opportunistic user profile exchange. The book concludes by introducing a framework for mobile peer rating using a multi;

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Genetic Programming for Production Scheduling

in production scheduling problems, and presents an advanced multi-objective approach with cooperative coevolution techniques or multi-tree;

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Job Scheduling Strategies for Parallel Processing

presented demonstrate that parallel job scheduling takes on a crucial role as multi-user parallel supercomputers become more widespread. All aspects;

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Production Planning and Control

Authorization Card system) and flexibility orientation (Opportunistic Planning and Scheduling) are explained.;

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Healthcare Staff Scheduling: Emerging Fuzzy Optimization Approaches

for more personalized healthcare, further research into multi-criteria solution approaches to staff scheduling is imperative. Healthcare;

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Healthcare Staff Scheduling: Emerging Fuzzy Optimization Approaches

for more personalized healthcare, further research into multi-criteria solution approaches to staff scheduling is imperative. Healthcare;

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A Scheduling Problem in Wire Industry

defined and scheduling heuristics to cover both the multi-wire and bunching stages are demonstrated. In multi-wire stage, after acquiring an;

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Methods and Applications of Statistics in Clinical Trials, Volume 2

methods, nonparametric ROC analysis, over- and under-dispersed models, and multi-armed bandit problems Up-to-date research on the Cox proportional;

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Principles of Sequencing and Scheduling

theory. This book offers an introduction and overview of sequencing and scheduling and covers such topics as single-machine and multi;

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Statistical Methods for Recommender Systems

discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models;

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Towards User Centric Intelligent Network Selection in 5G Heterogeneous Wireless

under the framework of multi-armed bandit (MAB). The second part (chapter 4 and 5) focuses on how to meet dynamic user demand in complex and;

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Towards User Centric Intelligent Network Selection in 5G Heterogeneous Wireless

under the framework of multi-armed bandit (MAB). The second part (chapter 4 and 5) focuses on how to meet dynamic user demand in complex and;

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