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cs.AI2025
Towards a Multi-Agent Simulation of Cyber-attackers and Cyber-defenders Battles
Julien Soulé, Jean-Paul Jamont, Michel Occello +2
As cyber-attacks show to be more and more complex and coordinated, cyber-defenders strategy through multi-agent approaches could be key to tackle against cyber-attacks as close as…
cs.AI2025
An Organizationally-Oriented Approach to Enhancing Explainability and Control in Multi-Agent Reinforcement Learning
Julien Soulé, Jean-Paul Jamont, Michel Occello +2
Multi-Agent Reinforcement Learning can lead to the development of collaborative agent behaviors that show similarities with organizational concepts. Pushing forward this perspectiv…