Reinforcement Learning – alle Bücher, Seite 3

Artificial Intelligence for Smart Manufacturing and Industry X.0

Springer Series in Advanced Manufacturing

This book offers a foundational understanding of smart manufacturing (SM) and introduces effective AI methods tailored for smart manufacturing, including supervised, unsupervised, and reinforcement learni…

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Takeshi Okadome
Essentials of Generative AI

This book provides a concise yet comprehensive introduction to generative artificial intelligence.The first part explains the foundational technologies and architectures that support the realization of ge…

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The Role of AI in Assessment

The Role of AI in Assessment: Revolutionizing Educationexamines how artificial intelligence (AI) is transforming the evaluation of learning and addresses the urgent need for innovative assessment methodol…

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Computing and Machine Learning

Lecture Notes in Networks and Systems - Band 1613

This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2025), organized by the Department of Computer Applications, Sikkim Manipal…

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Proceedings of the 4th International Conference on Machine Learning, Cloud Computing and Intelligent Mining (Mlccim2025)

This book contains the selected proceedings of the 2025 International Conference on Machine Learning, Cloud Computing and Intelligent Mining, held in Mohe, China, July 21-25, 2025. The conference explores…

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Jesús Rogel-Salazar
Advanced Data Science and Analytics with Python

The second edition of Advanced Data Science and Analytics with Python reflects the rapid transformation of artificial intelligence in recent years. While preserving its practical, modular structure, this …

lieferbar ab 26.8.2026.

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Yuhan Kang, Hao Gao, Zhu Han
Mean Field Guided Machine Learning

Wireless Networks

This book explores the integration of Mean Field Game (MFG) theory with machine learning (ML), presenting both theoretical foundations and practical applications. Drawing from extensive research, it provi…

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Xin Wang, Huaqing Li, Tingwen Huang
Optimal Adaptive Cooperative Control for Nonlinear Multiagent Systems

This book provides a systematic and in-depth introduction to distributed optimal adaptive cooperative control for multiagent systems from a theoretical perspective. The major research topics include: adap…

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Natasa Kleanthous, Abir Hussain
Machine Learning in Farm Animal Behavior using Python

This book is a comprehensive guide to applying machine learning to animal behavior analysis, focusing on activity recognition in farm animals. It begins by introducing key concepts of animal behavior and …

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Ranjan Vepa
Nonlinear Control of Robots and Unmanned Aerial Vehicles

Nonlinear Control of Robots and Unmanned Aerial Vehicles: An Integrated Approach, Second Edition focuses on the design of nonlinear, automatic and autonomous controllers for robots including drones and un…

lieferbar ab 12.10.2026.

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Elad Hazan, Karan Singh
Introduction to Online Control

This tutorial guide introduces online nonstochastic control, an emerging paradigm in control of dynamical systems and differentiable reinforcement learning that applies techniques from online convex optim…

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The Role of AI in Assessment

The Role of AI in Assessment: Revolutionizing Educationexamines how artificial intelligence (AI) is transforming the evaluation of learning and addresses the urgent need for innovative assessment methodol…

lieferbar in mind. 4 Wochen

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Jesús Rogel-Salazar
Advanced Data Science and Analytics with Python

The second edition of Advanced Data Science and Analytics with Python reflects the rapid transformation of artificial intelligence in recent years. While preserving its practical, modular structure, this …

lieferbar ab 26.8.2026.

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Industry 4.0 and Machine Learning

This book explores how machine learning algorithms can be applied to Industry 4.0 technologies to enhance their capabilities. It discusses how machine learning can be used for predictive maintenance in sm…

lieferbar ab 24.9.2026.

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Xiaojing Ye
Mathematical Foundations of Deep Learning

Mathematical Foundations of Deep Learning offers a comprehensive and rigorous treatment of the mathematical principles underlying modern deep learning. The book spans core theoretical topics, from the app…

lieferbar ab 25.8.2026.

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Positioning and Navigation Using Machine Learning Methods

Navigation: Science and Technology - Band 14

This is the first book completely dedicated to positioning and navigation using machine learning methods. It deals with ground, aerial, and space positioning and navigation for pedestrians, vehicles, UAVs…

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Kay-Yut Chen
The Social and Economic Behavior of AI Agents

Contemporary Systems Thinking

This book investigates the social and economic behaviors exhibited by artificial intelligence, with a focus on trust, cooperation, and incentives. The first chapter examines the critical role of AI in dec…

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Xiaojing Ye
Mathematical Foundations of Deep Learning

Mathematical Foundations of Deep Learning offers a comprehensive and rigorous treatment of the mathematical principles underlying modern deep learning. The book spans core theoretical topics, from the app…

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Games on Graphs

This volume introduces the fundamental results and the state of the art in infinite duration games on graphs. These versatile game models first appeared in the study of automata and logic, but later becam…

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Boris Galitsky
Applications of Neuro-Symbolic Artificial Intelligence

This book offers a bold vision for the future of artificial intelligence, showing how the next wave of innovation will blend the power of large language models with the rigor of logical reasoning and huma…

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