Reinforcement Learning – alle Bücher

Yves Hilpisch
Reinforcement Learning for Finance

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

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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, Qingyang Li, 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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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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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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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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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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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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Fangxing Li, Yan Du
Deep Learning for Power System Applications

Introduction-A Brief History of Deep Learning and Its Applications in Power Systems.- Deep Neural Network for Microgrid Management.- Deep Convolutional Neural Network for Power System N-1 Contingency Scre…

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Pattern Recognition

This book constitutes the proceedings of the 17th Mexican Conference on Pattern Recognition, MCPR 2025, held in Guanajuato, Mexico, during June 25--28, 2025.The 36 full papers presented 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 f…

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Intelligent Computing

Parsing Requirements for Automatic Prompting of Large Language Models for Requirements Validation.- LLM Re-Ranker as a Tool for Enhancing Sequential Recommendations.- The Role of ChatGPT in Advancement of…

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Haesik Kim
Artificial Intelligence in the 6G Ecosystem

This textbook provides knowledge of artificial intelligence (AI), wireless communications, and cellular networks. It covers AI techniques such as unsupervised learning, supervised learning, reinforcement …

lieferbar ab 23.12.2025.

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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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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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Bo Lijun
New Models And Methods In Dynamic Portfolio Optimization

This book presents some new models and methods in the context of dynamical portfolio optimization. It encapsulates the authors' recent progress in their research on several interesting, featured issues of…

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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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Elad Hazan, Karan Singh
Introduction to Online Control

This tutorial guide introduces online nonstochastic control, an emerging paradigm in control of dynamical systems and differentiable reinforcement learning that applies techniques from online convex optim…

lieferbar ab 31.12.2025.

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