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Continual and Reinforcement Learning for Edge AI: Framework, Foundation, and Algorithm Design by Hang Wang, Sen Lin, Junshan Zhang

• Continual and Reinforcement Learning for Edge AI: Framework, Foundation, and Algorithm Design
• Hang Wang, Sen Lin, Junshan Zhang
• Page: 265
• Format: pdf, ePub, mobi, fb2
• ISBN: 9783031843624
• Publisher: Springer Nature Switzerland

Download Continual and Reinforcement Learning for Edge AI: Framework, Foundation, and Algorithm Design

Read full books online no download Continual and Reinforcement Learning for Edge AI: Framework, Foundation, and Algorithm Design by Hang Wang, Sen Lin, Junshan Zhang in English FB2 DJVU ePub 9783031843624

Overview

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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