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portada Continual and Reinforcement Learning for Edge ai: Framework, Foundation, and Algorithm Design (Synthesis Lectures on Learning, Networks, and Algorithms)
Type
Physical Book
Publisher
Author
Language
English
Pages
286
Format
Hardcover
ISBN13
9783031843624

Continual and Reinforcement Learning for Edge ai: Framework, Foundation, and Algorithm Design (Synthesis Lectures on Learning, Networks, and Algorithms)

Hang Wang; Sen Lin; Junshan Zhang (Author) · Springer · Hardcover

Continual and Reinforcement Learning for Edge ai: Framework, Foundation, and Algorithm Design (Synthesis Lectures on Learning, Networks, and Algorithms) - Hang Wang; Sen Lin; Junshan Zhang

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Synopsis "Continual and Reinforcement Learning for Edge ai: Framework, Foundation, and Algorithm Design (Synthesis Lectures on Learning, Networks, and Algorithms)"

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 the AI at resource-limited edge devices. The authors introduce readers to practical frameworks and in-depth algorithmic foundations. The book surveys the recent advances in the area, coming from both academic researchers and industry professionals. The authors also present their own research findings on continual and reinforcement learning for edge AI. The book also covers the practical applications of the topic and identifies exciting future research opportunities.

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The book is written in English.

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The binding of this edition is Hardcover.

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