Reinforcement And Learning Theory – alle Bücher online kaufen

Cognitive Analytics and Reinforcement Learning

Delve into cognitive analysis, a comprehensive exploration of artificial intelligence and data analytics. This book illustrates advanced techniques and how reinforcement learning concepts are applied acro…

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Bildung für eine nachhaltige Entwicklung im Umbruch?

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Ein Umbruch bezeichnet eine Veränderung, die ein grundlegendes Umdenken mit sich bringt. Mit aktuellen ökologischen, gesellschaftlichen und individuellen Umbrüchen setzt sich dieser Band auseinander: Welc…

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Explainable and Interpretable Reinforcement Learning for Robotics

Synthesis Lectures on Artificial Intelligence and Machine Learning

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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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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Baihan Lin
Reinforcement Learning Methods in Speech and Language Technology

Signals and Communication 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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Populismus und Protest

How do technologies shape participation? The rise of digital technologies has facilitated novel modes of engagement, such as political campaigns, protest movements, or civic education initiatives. However…

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Machine Learning Theory and Applications

Enables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries Machine Learning Theory and Applications delv…

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Deep Learning Theory and Applications

Communications in Computer and Information Science -Band 2172

The two-volume set CCIS 2171 and 2172 constitutes the refereed papers from the 5th INternational Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during …

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Deep Learning Theory and Applications

Communications in Computer and Information Science -Band 2171

The two-volume set CCIS 2171 and 2172 constitutes the refereed best papers from the 5th International Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, du…

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

Advances in Industrial Control

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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Prashad
Optimization Algorithms for Machine Learning: Theory and Practice

In the realm of machine learning, optimization algorithms play a pivotal role in refining models for optimal performance. These algorithms, ranging from classic gradient descent to advanced techniques lik…

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Dale T. Griffee, Greta Gorsuch
Using Theories for Second Language Teaching and Learning

This book helps second language teachers use theories in their practice, exploring in concrete and practical ways the intersections between teachers, learners, and institutions, and theories of teaching, …

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Dale T. Griffee, Greta Gorsuch
Using Theories for Second Language Teaching and Learning

This book helps second language teachers use theories in their practice, exploring in concrete and practical ways the intersections between teachers, learners, and institutions, and theories of teaching, …

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ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data

Communications in Computer and Information Science -Band 1991

This book constitutes the refereed proceedings of the 15th International Conference on ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data, ICT Innovations 2023, held in Ohrid, North Macedo…

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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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Julie Dirksen
Talk to the Elephant: Design Learning for Behavior Change

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Anne Pflug
Finding Your Superpowers

Finding Your Superpowers: How to Discover and Nurture Strengths and Personal Interests intentionally mimics and uses popular images of superheroes. The book is a quick read with a fun and approachable for…

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Effective Machine Learning Teams

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bri…

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Rob Thomas, Paul Zikopoulos, Kate Soule, Dario Gil
AI Value Creators

We've arrived in a new era--GenAI is reshaping industries and decision-making processes across the board. As a result, understanding its potential and pitfalls has become crucial. But in order to stay ahe…

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Manu Kapur
Productive Failure

Praise for PRODUCTIVE FAILURE "Productive Failure perfectly defines the power and science of learning from failure; a must-read for anyone looking to transform their game, not just in sport, but in all wa…

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Reinforcement And Learning Theory – alle Bücher

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