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Deep Reinforcement Learning and Its Industrial Use Cases

This book serves as a bridge connecting the theoretical foundations of DRL with practical, actionable insights for implementing these technologies in a variety of industrial contexts, making it a valuable…

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Bosen Lian, Wenqian Xue, Bahare Kiumarsi, Hamidreza Modares
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games

Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with brea…

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Nina Hogrebe, Daniela Ulber
Kita-Entwicklung - Verstehen, Vernetzen, Verändern

The book summarises the findings of the "Forum KITA-Entwicklung" project. The topic of organisational development plays an important role for stakeholders in the daycare system, particularly the…

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Qualitätsentwicklung in Kitas: Wenn Entdecken und Forschen zum Alltag werden

The book presents the programme "KiQ - Together for Childcare Quality". It also contains three expert reports on the topics of "Learning Kita", "Process support for daycare centre…

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Modelling and Simulation for Autonomous Systems

This volume LNCS 14615 constitutes the refereed proceedings of the 10th International Conference on Modelling and Simulation for Autonomous Systems, MESAS 2023, in October 17-19, 2023, in Palermo, Italy.T…

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Larissa Sternkopf
Corporate Sustainability Management

Unternehmen wird eine zentrale Rolle bei der erfolgreichen Bewältigung der auf EU- und Bundesebene politisch induzierten Nachhaltigkeitstransformation zugesprochen. Trotz teils substantieller Veränderunge…

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Aaron M. Roth, Elham Tabassi, Ram D. Sriram, Dinesh Manocha
Explainable and Interpretable Reinforcement Learning for Robotics

This book surveys the state of the art in explainable and interpretable reinforcement learning (RL) as relevant for robotics. While RL in general has grown in popularity and been applied to increasingly c…

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Hang Wang, Junshan Zhang, Sen Lin
Continual and Reinforcement Learning for Edge AI

This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance …

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Baihan Lin
Reinforcement Learning Methods in Speech and Language Technology

This book offers a comprehensive guide to reinforcement learning (RL) and bandits methods, specifically tailored for advancements in speech and language technology. Starting with a foundational overview o…

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Bing Liu, Sahisnu Mazumder
Lifelong and Continual Learning Dialogue Systems

This book introduces the new paradigm of lifelong and continual learning dialogue systems to endow dialogue systems with the ability to learn continually by themselves through their own self-initiated int…

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Tawanda Mushiri, Marvellous Moyo, Habib Noorbhai, Qammer H Abbasi
Moving Towards Fully Autonomous and Cost-Effective Surgical Robotic Systems with AI

Moving Towards Fully Autonomous and Cost-Effective Surgical Robotic Systems with AI offers advanced insights into how AI can be used to optimize the design, manufacturing, and clinical application of thes…

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Proceedings of the IUTAM Symposium on Optimal Guidance and Control for Autonomous Systems 2023

This book showcases a collection of papers that present cutting-edge studies, methods, experiments, and applications in various interdisciplinary fields. These fields encompass optimal control, guidance, …

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Alexandre Schmid, Catherine Dehollain, Mohammad Javad Karimi
Integrated Wireless Power, Data Communication, and Thermal Sensing Systems for Autonomous Multisite Brain Implants

Introduction.- Wirelessly Powered Biomedical Implants.- System-Level Modeling.- Implantable Dual-Band Inductive Link.- Wireless Power Conversion Chain and Control Methods.- Wireless Data Communication.- O…

lieferbar ab 22.8.2025.

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Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

This book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms. The authors discuss recent a…

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Samuel Ackerman, Guy Barash, Onn Shehory, Orna Raz
Theory and Practice of Quality Assurance for Machine Learning Systems

This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that includ…

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Methodologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference

Education is the cornerstone of any society, and it serves as one of the foundations for many of its social values and characteristics. mis4TEL'24 promotes the interaction among the scientific community t…

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Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 14th International Conference

This book includes the accepted papers of the four selected workshops focus on Artificial Intelligence for Education (Ai4Ed) , Technology Enhanced Learning in Nursing Education (NURSING), Technology Enhan…

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Machine Learning for Cyber Physical System: Advances and Challenges

This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart…

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Software Engineering Research and Practice and e-Learning, e-Business, Enterprise Information Systems, and e-Government

This book constitutes the proceedings of the 22nd International Conference on Software Engineering Research and Practice, SERP 2024, and the 23rd International Conference on e-Learning, e-Business, Enterp…

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Applications of Computational Learning and IoT in Smart Road Transportation System

This book discusses machine learning and AI in real-time image processing for road transportation and traffic management. There is a growing need for affordable solutions that make use of cutting-edge tec…

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