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Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Lan, Guangchen, Han, Dong-Jun, Hashemi, Abolfazl, Aggarwal, Vaneet, Brinton, Christopher G.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Distributed, Parallel, and Cluster Computing Networking and Internet Architecture I.2.6; I.2.11
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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