Model-based Reinforcement Learning – alle Bücher

Model-Based Safety and Assessment

This book LNCS 15755 constitutes the proceedings of the 9th International Symposium on Model-Based Safety and Assessment, IMBSA 2025, held in Athens, Greece, in September 24-26, 2025.The 28 full papers we…

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Model-Based Software and Systems Engineering

This volume constitutes the revised selected papers of 12th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2024, in Rome, Italy, during February 21--23, 2024.The…

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R. Russell Rhinehart
Nonlinear Model-Based Control

Nonlinear Model-Based Control: Using First-Principles Models in Process ControlFirst-principles models (engineering models) are used in industry for process design, troubleshooting, training, online analy…

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Chasin' the Sound

In Chasin' the Sound: Learning Jazz Improvisation through Historical Models , authors Brian Levy and Keith Waters use solos by famous jazz musicians to outline a melodic and rhythmic vocabulary of jazz im…

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Marco Forlingieri, Tim Weilkiens, Hugo Guillermo Chalé-Gongora
Model-Based Product Line Engineering (Mbple)

Clear and concise guide to MBPLE, with industrial case studiesWritten in a to-the-point style, Model-Based Product Line Engineering (MBPLE) is the only theoretical and practical foundational book on MBPLE…

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Alia Salah
Model-Based Fault Diagnosis and Fault-Tolerant Control

Derivation of an equivalent mathematical model for the automotive electric power generation and storage system.- Providing a study on the effects of common faults on the performance of automotive electric…

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Product Lifecycle Management. PLM in the Age of Model-Based Engineering in Industry

This 2-volume set constitutes the post proceedings of the 22nd IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2025, which took place in Seville, Spain, July 2025.The 79 full pap…

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Product Lifecycle Management. PLM in the Age of Model-Based Engineering in Industry

This 2-volume set constitutes the post proceedings of the 22nd IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2025, which took place in Seville, Spain, July 2025.The 79 full pap…

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Machine Learning Perspectives of Agent-Based Models

Agent-Based Models and the Economics of Crisis.- The Machine Learning perspective.- Setting up Agent-Based Models of Crisis (Microeconomic Model of Crisis; Virus on a Network Spread Model).- Developing mo…

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Generative Machine Learning Models in Medical Image Computing

Generative Machine Learning Models in Medical Image Computing" provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging. This book pres…

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Statistical Models and Learning Methods for Complex Data

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data …

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Francisco Chinesta, Angelo Pasquale, Dominique Baillargeat, Elías Cueto
A Gentle Introduction to Data, Learning, and Model Order Reduction

Studies in Big Data - Band 174

Abstract.- Extended summary.- Part 1.Around Data.- Part 2.Around Learning.- Part 3. Around Reduction.- Part 4. Around Data Assimilation & Twinning.

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Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach

Ensuring patient safety and security through cyberspace requires that all care professionals operate as a team and community . In order to be successful, it is of paramount importance that all members of …

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Luca Antiga, Eli Stevens, Howard Huang, Thomas Viehmann
Deep Learning with Pytorch, Second Edition

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.PyTorch …

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Diogo R. M. Bastos, João Manuel R. S. Tavares
Advances in Gait-Based Identification

Introduction.- Background.- Research objectives and method.- Datasets.- Comparison of the reviewed methods.- Conclusion.

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Nick Shackleton-Jones
How People Learn

Discover how to design learning that actually changes how people think, work and perform.How People Learn gives mid-career learning and development professionals, educators and instructional designers the…

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Rudy Milani
Advanced Automation for Comprehensible Causal Explanations of Reinforcement Learning Agents

This thesis introduces Auto-BENEDICT, a novel, fully automated methodology designed to generate human-comprehensible causal explanations for model-free Reinforcement Learning (RL) agents. The system addre…

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