Search Results "Multi-agent Reinforcement Learning" - all Bücher

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Engineering Multi-Agent Systems

This book constitutes the revised selected papers from the 12th International Workshop on Engineering Multi-Agent Systems, EMAS 2024, held in Auckland, New Zealand, during May 6 7, 2024. The 7 full paper…

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Masaaki Nagahara, Hyo-Sung Ahn, Shun-Ichi Azuma
Control of Multi-agent Systems

This textbook teaches control theory for multi-agent systems. Readers will learn the basics of linear algebra and graph theory, which are then developed to describe and solve multi-agent control problems.…

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Explainable and Transparent AI and Multi-Agent Systems

This volume constitutes the papers of several workshops which were held in conjunction with the 6th International Workshop on Explainable and Transparent AI and Multi-Agent Systems, EXTRAAMAS 2024, in Auc…

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PRIMA 2024: Principles and Practice of Multi-Agent Systems

This book constitutes the refereed proceedings of the 25th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2024, held in Kyoto, Japan, during November 18 24, 2024. The 2…

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Zhi Feng, Xiwang Dong, Guoqiang Hu, Jinhu Lyu
Resilient Cooperative Control and Optimization of Multi-Agent Systems

Resilient Cooperative Control and Optimization of Multi-Agent Systems addresses various resilient cooperative control and optimization problems of multi-agent systems that are vulnerable to physical failu…

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Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future

The scientific theme of the book is "Sustainability for the digital manufacturing era" which is focused on how the technological enablers of digital systems drive the sustainability for products, processe…

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Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVII

The volume LNAI 15398 constitutes the revised selected papers of the 28th International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems, COIN…

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Highlights in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection

This book constitutes the refereed proceedings of the International Workshops on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2024, held in Salamanca, Spain, during June 26-28, 2024. T…

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Advances in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins: The PAAMS Collection

This book constitutes the refereed proceedings of the 22nd International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2024, held in Salamanca, Spain, during June 26-28, 20…

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Khanh Luong, Richi Nayak
Multi-aspect Learning

This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning. It covers state-of-the-ar…

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Lei Zhu, Weili Guan, Jingjing Li
Multi-modal Hash Learning

This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexin…

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Deep Learning for Multi-Sensor Earth Observation

Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion. With insights drawn from the frontie…

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Machine Learning Methods for Multi-Omics Data Integration

The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays.…

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Marian Verhelst, Vikram Jain
Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect o…

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Explainable Machine Learning for Multimedia Based Healthcare Applications

This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for appli…

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Shiva
Distributed Learning with a Local Touch: Improving Efficiency in Multiparty Learning

Multiparty learning as an emerging topic, many of the related frameworks and ap-plications are proposed. In this section, we explore the extent of these frameworks and technologies. Yang et al.72 provide …

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Naviya
Bridging the Gap: Addressing Heterogeneity in Local Models for Enhanced Multiparty Learning

in the system. Note that all these works rely on a trusted central server to coor-dinate the distributed learning process, which obviously becomes a single point of failure and can be subject to attacks. …

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Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models

Although there is much literature on organisational learning, mathematical formalisation and computational simulation, there is no literature that uses mathematical modelling and simulation to represent a…

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