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HG-MRLS: A Hierarchical Graph Meta-Reinforcement Learning Framework for Dynamic Scheduling in Heterogeneous Computing Networks

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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spellingShingle HG-MRLS: A Hierarchical Graph Meta-Reinforcement Learning Framework for Dynamic Scheduling in Heterogeneous Computing Networks
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title HG-MRLS: A Hierarchical Graph Meta-Reinforcement Learning Framework for Dynamic Scheduling in Heterogeneous Computing Networks
title_auth HG-MRLS: A Hierarchical Graph Meta-Reinforcement Learning Framework for Dynamic Scheduling in Heterogeneous Computing Networks
title_full HG-MRLS: A Hierarchical Graph Meta-Reinforcement Learning Framework for Dynamic Scheduling in Heterogeneous Computing Networks
title_fullStr HG-MRLS: A Hierarchical Graph Meta-Reinforcement Learning Framework for Dynamic Scheduling in Heterogeneous Computing Networks
title_full_unstemmed HG-MRLS: A Hierarchical Graph Meta-Reinforcement Learning Framework for Dynamic Scheduling in Heterogeneous Computing Networks
title_short HG-MRLS: A Hierarchical Graph Meta-Reinforcement Learning Framework for Dynamic Scheduling in Heterogeneous Computing Networks
title_sort hg-mrls: a hierarchical graph meta-reinforcement learning framework for dynamic scheduling in heterogeneous computing networks
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11339505