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Multi-Agent Reinforcement Learning
by Stefano V. Albrecht
English | December 17, 2024 | ISBN: 0262380501 | 396 Pages | True epub | 14,32 MB

The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARL's models, solution concepts, algorithmic ideas, technical challenges, and modern approaches.
Multi-Agent Reinforcement Learning (MARL), an area of machine learning in which a collective of agents learn to optimally interact in a shared environment, boasts a growing array of applications in modern life, from autonomous driving and multi-robot factories to automated trading and energy network management. This text provides a lucid and rigorous introduction to the models, solution concepts, algorithmic ideas, technical challenges, and modern approaches in MARL. The book first introduces the field's foundations, including basics of reinforcement learning theory and algorithms, interactive game models, different solution concepts for games, and the algorithmic ideas underpinning MARL research. It then details contemporary MARL algorithms which leverage deep learning techniques, covering ideas such as centralized training with decentralized execution, value decomposition, parameter sharing, and self-play. The book comes with its own MARL codebase written in Python, containing implementations of MARL algorithms that are self-contained and easy to read. Technical content is explained in easy-to-understand language and illustrated with extensive examples, illuminating MARL for newcomers while offering high-level insights for more advanced readers.
First textbook to introduce the foundations and applications of MARL, written by experts in the field
Integrates reinforcement learning, deep learning, and game theory
Practical focus covers considerations for running experiments and describes environments for testing MARL algorithms
Explains complex concepts in clear and simple language
Classroom-tested, accessible approach suitable for graduate students and professionals across computer science, artificial intelligence, and robotics
Resources include code and slides
eBook Details:
Stefano V. Albrecht
396 Pages
10 - 11 Hours to read
136k Total words
Release Date: December 17, 2024
ISBN-13: 9780262380508
ISBN-10: 0262380501
Language: English
Format: epub
✅File Size: 14,32 MB

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Multi-Cloud Administration Guide: Manage and Optimize Cloud Resources Across Azure, AWS, GCP, and Alibaba Cloud by Jeroen Mulder
English | August 14, 2024 | ISBN: 1501522655 | 304 pages | MOBI | 2.99 Mb
As businesses increasingly adopt cloud-first strategies, managing workloads across multiple cloud platforms becomes a critical challenge. This comprehensive book provides practical solutions and in-depth knowledge to efficiently operate in a multi-cloud world. Learn to leverage frameworks from AWS, Azure, GCP, and Alibaba Cloud to maximize the benefits of multi-cloud environments. Understand cloud networking, software-defined networking, and microservices to optimize cloud connectivity. Develop a robust data strategy to ensure data quality, security, and integrity across multiple cloud platforms. Discover how automation and AI can help maintain compliance with governmental and industry regulations in the cloud. Designed for cloud architects, IT administrators, and technical managers, this book is also valuable for anyone looking to deepen their understanding of cloud technologies and multi-cloud strategies.

FEATURES
* Uses frameworks from AWS, Azure, GCP, and Alibaba Cloud to maximize the benefits of multi-cloud environments
* Provides practical instructions and real-world examples for managing multi-cloud environments
* Features insights into cloud-native technologies, serverless functions, and container orchestration with Kubernetes
* Explores the details of multi-cloud connectivity, storage, compute, data management, security, and compliance
* Includes companion files with code samples and color figures available for downloading

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Multi-Cloud Handbook for Developers: Learn how to design and manage cloud-native applications in AWS, Azure, GCP, and more by Subash Natarajan, Jeveen Jacob
English | February 29, 2024 | ISBN: 1804618705 | 292 pages | PDF | 8.20 Mb
Explore proven techniques and best practices for designing, deploying, and managing cloud-native applications in multi-cloud environments with the help of real-world examples, success stories, and emerging technologiesKey FeaturesDiscover optimal solutions in multi-cloud environments using AWS, Azure, and GCP tools and technologiesExcel in designing, developing, and securing cloud-native apps with Docker, Kubernetes, and IstioLearn design patterns, cost optimization, best practices, and pitfalls to avoid in multi-cloud appsPurchase of the print or Kindle book includes a free PDF eBookBook Description

Unleash the power of cloud computing with Multi-Cloud Handbook for Developers, your guide to mastering the nuances of cloud-native and multi-cloud, covering practical strategies for design, development, and management. Explore the essential concepts, challenges, and methodologies critical for navigating the complex landscape of modern cloud computing.
Using core architectural and design principles (such as microservices and 12-factor architecture) and advanced strategies (such as distributed application design patterns, domain-driven design (DDD), and API-first strategies), you'll learn how to build portable and efficient apps across various cloud platforms. You'll understand how to leverage Infrastructure as Code (IaC), continuous integration and deployment (CI/CD), GitOps, and DevOps practices, along with containerization and orchestration techniques using Docker and Kubernetes. You'll also get to grips with data, security, compliance, and cloud cost management strategies in multi-cloud environments.
With real-world case studies, best practices, and insights into future trends, this book will equip you with the skills to develop, manage, troubleshoot, and innovate cloud-native applications across diverse cloud platforms, positioning you at the forefront of the cloud computing revolution.What you will learnUnderstand the core structures and implications of cloud-native and multi-cloud appsExplore key principles and patterns to build agile, scalable, and future-proof appsMaster cloud-native essentials: service mesh, DDD, and API-centric approachesImplement deployment pipelines with advanced IaC, CI/CD, DevSecOps, and GitOps techniquesManage and monitor data, security, compliance, and identity access in multi-cloud scenariosOptimize your cloud costs with shift-left and FinOps practicesGet ready for the future of cloud-native and multi-cloud technologyWho this book is for
Ideal for cloud-native and cloud developers, platform engineers, software architects, and IT professionals focused on building and managing cloud-native applications in multi-cloud environments, this book is an indispensable guide for students and researchers seeking insights into cloud-native concepts and multi-cloud architectures. A basic understanding of cloud computing, contemporary software development, system design, and cloud platforms such as AWS, Azure, and GCP, will prove useful.Table of ContentsDiscovering the Multi-Cloud and Cloud-Native UniverseBuilding the Backbone of Cloud-Native ApplicationsDesigning for Diversity with Multi-Cloud Application StrategiesCrafting and Deploying in the Multi-Cloud as a DeveloperManaging Security, Data, and Compliance on Multi-CloudMaximizing Value and Minimizing Cost of Multi-CloudTroubleshooting Multi-Cloud ApplicationsLearning from Pioneers and Case StudiesBringing Your Cloud-Native Application to LifeFuture-Proofing Your Cloud Computing Skills

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Multi-Factorial Approach as a Therapeutic Strategy for the Management of Alzheimer's Disease
English | 2025 | ISBN: 9819602580 | 448 Pages | PDF EPUB (True) | 39 MB
This book is a comprehensive guide to the pathology, underlying mechanisms, and treatment options for Alzheimer's disease (AD). The book starts with an introduction to the basic anatomy and physiology of the central nervous system, followed by an overview of the types, classifications, and basic concepts of neurodegenerative disorders. The epidemiology, etiology, risk factors, and future predictions of AD have been covered in detail. The book then delves into the pathophysiology and underlying mechanisms of plaque formation and explores the correlation of AD with other psychological and non-psychological conditions. The chapters also explore the diagnosis of AD, including types of plaques and their detection, imaging techniques, and other tests. The book also covers traditional therapies for AD and explores the potential application of nanotechnology in AD treatment. The book also covers animal models and ethics in the testing of drugs for AD, regulatory guidelines, and the approval process for drugs and formulations for AD. Prevention and reduction of AD risk are explored, including lifestyle changes, dietary changes, supplements, natural medicines (phytoconstituents), and probiotics as the future of AD. The book concludes with a discussion of future barriers and possible solutions with recent advances in the field of AD. This book is an essential guide for students, researchers, and healthcare professionals interested in Alzheimer's disease research.

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Multi-objective Optimization Techniques: Variants, Hybrids, Improvements, and Applications
English | 2025 | ISBN: 1032589981 | 342 Pages | PDF EPUB (True) | 61 MB
The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, computer science and engineering, and mathematics.

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Multi-objective Optimization Techniques in Engineering Applications:
Advanced Methods for Solving Complex Engineering Problems
English | 2025 | ISBN: 3031812360 | 545 Pages | PDF (True) | 11 MB

This essential book bridges theory and practice, exploring advanced multi-objective optimization methods applied across engineering fields like manufacturing, renewable energy, and thermal management. This book presents a comprehensive, hands-on guide for engineers, researchers, and students seeking to harness the power of optimization in diverse, real-world scenarios.

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Multi-valued Logic for Decision-Making Under Uncertainty
English | 2025 | ISBN: 3031747615 | 300 Pages | PDF EPUB (True) | 26 MB
The suggested implementation of multi-valued logics is based on the uninorm and absorbing norm with generating functions defined by probability distributions. Natural extensions of these logics result in non-commutative and non-distributive logics. In addition to Boolean truth values, these logics handle subjective truth and false values and model irrational decisions. Dynamics of decision-making are specified by the subjective Markov process and learning - by neural network with extended Tsetlin neurons. Application of the suggested methods is illustrated by modelling of irrational economic decisions and biased reasoning in the wisdom-of-the-crowd method, and by control of mobile robots and navigation of their groups.

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Brian M. Conners, "Multiculturalism and Diversity in Applied Behavior Analysis: Bridging Theory and Application Ed 2"
English | ISBN: 1032514051 | 2024 | 184 pages | PDF | 4 MB
This textbook provides a theoretical and clinical framework for addressing multiculturalism and diversity in the field of applied behavior analysis (ABA).

Featuring contributions from national experts, practicing clinicians, researchers, and academics which balance both a scholarly and practical perspective, this book guides the reader through theoretical foundations to clinical applications to help behavior analysts understand the impact of diversity in the ABA service delivery model. This fully updated second edition includes updates applicable to the new BACB® Ethics Code for Behavior Analysts. Chapters contain case studies, practice considerations, and discussion questions to aid further learning. Accompanying the book is an online test bank for students and instructors to assess the knowledge they have learned about various diversity topics.
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Multidimensional Signals Processing, AI Methods and Applications
English | 2025 | ISBN: 9819791235 | 571 Pages | PDF (True) | 27 MB
This book contains new research works presented at the Third World Conference on Intelligent and 3D Technologies (WCI3DT2024), organized by IRNet International Academic Communication Center, held in Shanghai, China during May 24-26, 2024. The main topics in this volume cover contemporary parts in the area of the multidimensional signal processing, based on deep learning and related applications. Special attention is given to neural networks, which make up the backbone of deep learning algorithms and their improvement, and research works aimed at the real-time interaction with unmanned vehicles, machine translation, cloud computing, personalized product recommendation model for autonomous robots, power production monitoring and control, optimization and acceleration of machine learning algorithms, pattern recognition, building crack detection and many others.

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Multidisciplinary Approach to Ectodermal Dysplasia
English | 2025 | ISBN: 3031757890 | 225 Pages | PDF EPUB (True) | 51 MB
Ectodermal Dysplasias (ED) are a diverse group of genetic disorders characterized by congenital defects of two or more ectodermal structures (e.g., sweat gland, tooth, nail, hair), that count about 100 different manifestations. Therefore, the multidisciplinary aspect is a novel but crucial approach to correctly diagnose and treat this kind of diseases and eventually direct patients to specialized centers. A new classification has been proposed as well as new therapeutic options, such as the first prenatal protein replacement therapy for a genetic disease, X-linked hypohidrotic ectodermal dysplasia. The chapters of this book address all relevant topics, starting with epidemiology and embryology, disease classification, molecular biology, EDA1-associated ED, WNT10A-related ED, and p63-related ED. A chapter on ED caused by defects of structural proteins is included and one specifically devoted to differential diagnoses. Specific chapters describe diagnostic assessments and treatment: odontostomatological signs and therapy, ophthalmological or otorhinolaringoiatric signs, other organ involvement, neurological and neuropsychological issues. The final part is dedicated to the most recent developments in molecular therapy and the extremely important role of parents' and patients' associations.

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Multimodal and Tensor Data Analytics for Industrial Systems Improvement by Nathan Gaw, Panos M. Pardalos, Mostafa Reisi Gahrooei
English | May 17, 2024 | ISBN: 3031530918 | 404 pages | MOBI | 30 Mb
This volume covers the latest methodologies for using multimodal data fusion and analytics across several applications. The curated content presents recent developments and challenges in multimodal data analytics and shines a light on a pathway toward new research developments. Chapters are composed by eminent researchers and practitioners who present their research results and ideas based on their expertise. As data collection instruments have improved in quality and quantity for many applications, there has been an unprecedented increase in the availability of data from multiple sources, known as modalities. Modalities express a large degree of heterogeneity in their form, scale, resolution, and accuracy. Determining how to optimally combine the data for prediction and characterization is becoming increasingly important. Several research studies have investigated integrating multimodality data and discussed the challenges and limitations of multimodal data fusion. This volume provides a topical overview of various methods in multimodal data fusion for industrial engineering and operations research applications, such as manufacturing and healthcare.

Advancements in sensing technologies and the shift toward the Internet of Things (IoT) has transformed and will continue to transform data analytics by producing new requirements and more complex forms of data. The abundance of data creates an unprecedented opportunity to design more efficient systems and make near-optimal operational decisions. On the other hand, the structural complexity and heterogeneity of the generated data pose a significant challenge to extracting useful features and patterns for making use of the data and facilitating decision-making. Therefore, continual research is needed to develop new statistical and analytical methodologies that overcome these data challenges and turn them into opportunities.

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Multimodal Data Fusion for Bioinformatics Artificial Intelligence
English | 2025 | ISBN: 1394269935 | 396 Pages | PDF | 16 MB
Multimodal Data Fusion for Bioinformatics Artificial Intelligence is an indispensable resource for those exploring how cutting-edge data fusion methods interact with the rapidly developing field of bioinformatics. Beginning with the basics of integrating different data types, this book delves into the use of AI for processing and understanding complex "omics" data, ranging from genomics to metabolomics. The revolutionary potential of AI techniques in bioinformatics is thoroughly explored, including the use of neural networks, graph-based algorithms, single-cell RNA sequencing, and other cutting-edge topics.

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Multimodal Learning toward Recommendation
English | 2025 | ISBN: 303183187X | 163 Pages | PDF (True) | 13 MB
First, it presents a semantic-guided feature distillation method which employs a teacher-student framework to robustly extract effective recommendation-oriented features from generic multimodal features. Next, it introduces a novel multimodal attentive metric learning method to model user diverse preferences for various items. Then it proposes a disentangled multimodal representation learning recommendation model, which can capture users' fine-grained attention to different modalities on each factor in user preference modeling. Furthermore, a meta-learning-based multimodal fusion framework is developed to model the various relationships among multimodal information. Building on the success of disentangled representation learning, it further proposes an attribute-driven disentangled representation learning method, which uses attributes to guide the disentanglement process in order to improve the interpretability and controllability of conventional recommendation methods. Finally, the book concludes with future research directions in multimodal learning toward recommendation.

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Multiparameter Flow Cytometry in the Diagnosis of Hematologic Malignancies
English | 2025 | ISBN: 1009419099 | 189 Pages | PDF | 14 MB
Master the implementation of flow cytometry techniques in diagnosing complex hematologic diseases and malignancies in patients with this comprehensive and practical guide. Featuring updated recommendations on pre-analytical steps, instrument settings and panel construction, this manual offers invaluable support for those diagnosing, treating and researching hematologic malignancies. Written by leading experts in the field, this book puts flow cytometry into everyday context. Through engaging with differential diagnoses, the manual offers an accurate description of specific features of malignancies and mimicking conditions. It also places flow cytometry in the scope of integrated diagnosis according to WHO and ICC classifications. Fully updated throughout, this second edition provides new literature and concepts, and presents new AI-based analytical methods. Richly illustrated and in full colour, this book is an ideal resource for those working in flow cytometry laboratories.

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Michal Pavelka, "Multiscale Thermo-Dynamics: Introduction to GENERIC"
English | ISBN: 3110350947 | 2018 | 292 pages | EPUB, PDF | 20 MB + 2 MB
One common feature of new emerging technologies is the fusion of the very small (nano) scale and the large scale engineering. The classical environment provided by single scale theories, as for instance by the classical hydrodynamics, is not anymore satisfactory. The main challenge is to keep the important details while still be able to keep the overall picture and simplicity. It is the thermodynamics that addresses this challenge. Our main reason for writing this book is to explain such general viewpoint of thermodynamics and to illustrate it on a very wide range of examples.

Contents
Levels of description
Hamiltonian mechanics
Irreversible evolution
Reversible and irreversible evolution
Multicomponent systems
Contact geometry
Appendix: Mathematical aspects
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