Reinforcementlearning – alle Bücher

Ihre Suche nach "Reinforcementlearning" (Bücher) ergab 8 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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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

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

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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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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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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Buch

Oluwatosin Ahmed Amodu, Raja Azlina Raja Mahmood, Huda Althumali, Umar Ali Bukar
Markov Decision Processes and Reinforcement Learning for Timely UAV-IoT Data Collection Applications

This book offers a structured exploration of how Markov Decision Processes (MDPs) and Deep Reinforcement Learning (DRL) can be used to model and optimize UAV-assisted Internet of Things (IoT) networks, wi…

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