Trefferliste "Reinforcementlearning" - alle Bücher

Ihre Suche nach "Reinforcementlearning" (Bücher) ergab 11 Treffer.

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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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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Buch

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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Buch

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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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 innerhalb 1-2 Wochen

Buch

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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Buch

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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Buch

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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Buch

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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Buch

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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