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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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Probability via Expectation

introduction to dynamic programming, that is then applied to the allocation problems represented by portfolio selection and the multi-armed bandit. The;

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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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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-UAV Planning and Task Allocation

Provides a comprehensive introduction to multi-robot systems planning and task allocation; Explores multi robot aerial planning, flight;

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Multi-UAV Planning and Task Allocation

Provides a comprehensive introduction to multi-robot systems planning and task allocation; Explores multi robot aerial planning, flight;

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Multi-Parameter Auctions

multiprocessors can be solved using multi-parameter auctions. We formulate the page allocation problem as a multi-parameter auction and find out;

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Resource Allocation in Heterogeneous Multi-hop Cellular Networks

A novel framework to model the problem of downlink resource allocation in conventional cellular systems and multi-hop cellular networks;

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Distributed Heterogeneous Multi Sensor Task Allocation Systems

multi-sensor allocation. This book presents the theory and applications of novel methods developed for such sophisticated systems. It discusses;

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Distributed Heterogeneous Multi Sensor Task Allocation Systems

multi-sensor allocation. This book presents the theory and applications of novel methods developed for such sophisticated systems. It discusses;

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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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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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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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Trinidad and Tobago

How does a multi-ethnic society resolve the contentious issue of resource allocation without damaging the state? This study examines;

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Goal Programming Based Multi-Objective Optimization Techniques of Task Allocation in Distributed Environment

task allocation problem as a multi-objective optimization problem to consider system constraints. The goal programming technique is used with;

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Bandit Algorithms in Information Retrieval

This monograph provides an overview of bandit algorithms inspired by various aspects of Information Retrieval (IR), such as click models;

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Multi-Asset Investing

This title features planning, constructing and managing a multi-asset portfolio. A multi-asset investment management approach provides;

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