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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Bibliographic Details

Published in:	Frontiers in Artificial Intelligence
Main Author:	Dilini Samarasinghe
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-07-01
Subjects:	autonomous agent systems multi-agent system (MAS) resilience counterfactual learning machine learning explainability
Online Access:	https://www.frontiersin.org/articles/10.3389/frai.2023.1212336/full