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Counterfactual learning in enhancing resilience in autonomous agent systems

Resilience in autonomous agent systems is about having the capacity to anticipate, respond to, adapt to, and recover from adverse and dynamic conditions in complex environments. It is associated with the intelligence possessed by the agents to preserve the functionality or to minimize the impact on...

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Detalles Bibliográficos
Autor principal: Samarasinghe, Dilini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419171/
https://www.ncbi.nlm.nih.gov/pubmed/37575207
http://dx.doi.org/10.3389/frai.2023.1212336