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Dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning

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Published in:Discover AI
Format: Online Article RSS Article
Published: 2026
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discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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genre Journal Article
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institution FRELIP
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publishDate 2026
publishDateSort 2026
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spellingShingle Dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
subject_facet Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
title Dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning
title_auth Dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning
title_full Dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning
title_fullStr Dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning
title_full_unstemmed Dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning
title_short Dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning
title_sort dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning
topic Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
url https://link.springer.com/article/10.1007/s44163-025-00788-7