Reinforcement Learning – alle Bücher

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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Yves Hilpisch
Reinforcement Learning for Finance

"Reinforcement learning (RL) has led to several breakthroughs in Al. The use of the deep Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a …

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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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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 cybersecurityIn Reinforcement Learning for Cyber Operations: Applications of Artificial Intelligenc…

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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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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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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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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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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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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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Christian Knaak
Echtzeitüberwachung und -optimierung der Nahtqualität beim Laserstrahlschweißen mittels bildgebender Sensorik und künstlicher Intelligenz

Herausforderungen wie steigende Qualitätsanforderungen und Kosteneffizienz erfordern innovative Lösungen für die effiziente Herstellung hochwertiger Produkte in der Automobilindustrie. Diese Arbeit stellt…

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Malik Ghallab, Dana Nau, 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, probab…

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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…

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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 f…

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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 contributions …

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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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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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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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