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Mixture of orthogonal experts: a novel approach to multi-agent fast policy adaptation

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Published in:Complex & Intelligent Systems
Format: Online Article RSS Article
Published: 2026
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container_title Complex & Intelligent Systems
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:78034
institution FRELIP
journal_source_facet Complex & Intelligent Systems
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Mixture of orthogonal experts: a novel approach to multi-agent fast policy adaptation
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Mixture of orthogonal experts: a novel approach to multi-agent fast policy adaptation
title_auth Mixture of orthogonal experts: a novel approach to multi-agent fast policy adaptation
title_full Mixture of orthogonal experts: a novel approach to multi-agent fast policy adaptation
title_fullStr Mixture of orthogonal experts: a novel approach to multi-agent fast policy adaptation
title_full_unstemmed Mixture of orthogonal experts: a novel approach to multi-agent fast policy adaptation
title_short Mixture of orthogonal experts: a novel approach to multi-agent fast policy adaptation
title_sort mixture of orthogonal experts: a novel approach to multi-agent fast policy adaptation
topic Computer Science
General
Computer Science
url https://link.springer.com/article/10.1007/s40747-026-02331-2