Reinforcement Learning – alle Bücher

Uwe Lorenz
Reinforcement Learning

In uralten Spielen wie Schach oder Go können sich die brillantesten Spieler verbessern, indem sie die von einer Maschine produzierten Strategien studieren. Robotische Systeme üben ihre Bewegungen selbst. …

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Jinna Li, Jialu Fan, Frank L. Lewis
Reinforcement Learning

This book offers a thorough introduction to the basics and scientific and technological innovations involved in the modern study of reinforcement-learning-based feedback control. The authors address a wid…

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Rafael Ris-Ala
Fundamentals of Reinforcement Learning

Artificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. It can outperform human competitors in …

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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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Liang Xiao, Minghui Min, Weihua Zhuang, Helin Yang
Reinforcement Learning for Maritime Communications

This book demonstrates that the reliable and secure communication performance of maritime communications can be significantly improved by using intelligent reflecting surface (IRS) aided communication, pr…

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Abdul Rahman, Christopher Redino, Dhruv Nandakumar, Tyler Cody
Reinforcement Learning for Cyber Operations

A comprehensive and up-to-date application of reinforcement learning concepts to offensive and defensive cybersecurity In Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligen…

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Zhiwei Qin (Tony), Xiaocheng Tang, Jieping Ye, Hongtu Zhu
Reinforcement Learning in the Ridesharing Marketplace

This book provides a comprehensive overview of reinforcement learning for ridesharing applications. The authors first lay out the fundamentals of the ridesharing system architectures and review the basics…

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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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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…

lieferbar in mind. 4 Wochen

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Hoi-Jun Yoo, Juhyoung Lee
Deep Reinforcement Learning Processor Design for Mobile Applications

This book discusses the acceleration of deep reinforcement learning (DRL), which may be the next step in the burst success of artificial intelligence (AI). The authors address acceleration systems which e…

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Dana Nau, Malik Ghallab, Paolo Traverso
Acting, Planning, and Learning

AI's next big challenge is integrating and automating the essential cognitive abilities of acting, planning, and learning. This comprehensive overview covers a range of models -deterministic, probabilisti…

lieferbar ab 30.6.2025.

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Vikram Krishnamurthy
Partially Observed Markov Decision Processes

This survey of formulation, algorithms, and structural results in POMDPs focuses on underlying concepts and connections to real-world applications in controlled sensing, keeping technical machinery to a m…

lieferbar ab 31.5.2025.

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Epistemic Uncertainty in Artificial Intelligence

This LNCS 14523 conference volume constitutes the proceedings of the First International Workshop, Epi UAI 2023, in Pittsburgh, PA, USA, August 2023. The 8 full papers together included in this volume wer…

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Data Information in Online Environments

This book constitutes the refereed proceedings of the 4th EAI International Conference on Data Information in Online Environments, DIONE 2023, held in Nanchang, China, during November 25-27, 2023. The 21…

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Distributed Autonomous Robotic Systems

This book of the SPAR series contains 39 scientific articles presented in the Distributed Autonomous Robotic Systems conference organized in November 28-30, 2022, in Montbéliard, France. The contribution…

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Artificial Intelligence and Machine Learning

This book constitutes the refereed proceedings of the 35th Benelux Conference on Artificial Intelligence and Machine Learning, BNAIC/Benelearn 2023, held in Delft, The Netherlands, during November 8 10, 2…

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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 …

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Dong-Seong Kim, Hoa Tran-Dang
Cooperative and Distributed Intelligent Computation in Fog Computing

This informative text/reference presents a detailed review of the state of the art in fog computing paradigm. In particular, the book examines a broad range of important cooperative and distributed comput…

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Artificial Intelligence for Smart Manufacturing and Industry X.0

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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Jong-Moon Chung
Emerging Secure Networks, Blockchains and Smart Contract Technologies

This book equips readers with the essential knowledge to innovate and improve network performance while ensuring security and safety. It covers foundational TCP/IP Internet network technologies and signif…

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