重庆邮电大学教师主页雷建军--Home-- GATR: a graph attention deep reinforcement learning approach with variance-sensitive rewards for rpl routing optimization

Lei Danny

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Doctoral Degree in Engineering

With Certificate of Graduation for Doctorate Study

Korea Inha University

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Business Address:重庆邮电大学信息科技大楼17楼1703室
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Home > Scientific Research > Paper Publications

GATR: a graph attention deep reinforcement learning approach with variance-sensitive rewards for rpl routing optimization

Date of Publication:2025-10-23 Hits:

Journal:Journal of King Saud University Computer and Information Sciences
Indexed by:Journal paper
Discipline:Engineering
First-Level Discipline:电子与信息类
Document Type:J
Translation or Not:no
Date of Publication:2025-10-23
Included Journals:SCI

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20251023（2区）网络下载GATR a graph attention deep reinforcement learning approach with variance-sensitive rewards for rpl routing optimization - 副本.pdf

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GATR: a graph attention deep reinforcement learning approach with variance-sensitive rewards for rpl routing optimization

20251023（2区）网络下载GATR a graph attention deep reinforcement learning approach with variance-sensitive rewards for rpl routing optimization - 副本.pdf