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Continual and Reinforcement Learning for Edge AI: Framework, Foundation, and Algorithm Design
Hardcover
Series: Synthesis Lectures on Learning, Networks, and Algorithms
General ComputersProbability & Statistics
ISBN13: 9783031843624
Publisher: Springer
Published: May 21 2025
Pages: 265
Weight: 1.42
Height: 0.69 Width: 6.69 Depth: 9.61
Language: English
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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