A hierarchical multi-agent allocation-action learning framework for multi-subtask games
A hierarchical multi-agent allocation-action learning framework for multi-subtask games
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Cham: Springer International Publishing
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English
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Cham: Springer International Publishing
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Great progress has been made in the domain of multi-agent reinforcement learning in recent years. Most work concentrates on solving a single task by learning the cooperative behaviors of agents. However, many real-world problems are normally composed of a set of subtasks in which the execution order follows a certain procedure. Cooperative behavior...
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A hierarchical multi-agent allocation-action learning framework for multi-subtask games
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TN_cdi_doaj_primary_oai_doaj_org_article_358818ef39d441778ceb15dc5f6c8d1a
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_358818ef39d441778ceb15dc5f6c8d1a
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ISSN
2199-4536
E-ISSN
2198-6053
DOI
10.1007/s40747-023-01255-5
