First-Author

Learning Reward Functions for Cooperative Resilience in Multi-Agent Systems

Abstract. Multi-agent systems often operate in dynamic and uncertain environments, where agents must not only pursue individual goals but also safeguard collective functionality. …

Manuela Chacon-Chamorro

Evaluating Cooperative Resilience in Multiagent Systems: A Comparison Between Humans and LLMs

Abstract. This paper presents a comparative analysis of cooperative resilience in multi-agent systems, defined as the ability to anticipate, resist, recover from, and transform to …

Manuela Chacon-Chamorro

Reducing overfitting in ResNet with Adaptive Lipschitz regularization

Abstract. This paper introduces Adaptive Lipschitz Bound Regularization with Random Constraints (LBA Regularization), a method designed to mitigate overfitting in residual neural …

Manuela Chacon-Chamorro

Cooperative Resilience in Artificial Intelligence Multi-Agent Systems

Abstract. Resilience refers to the ability of systems to with-stand, adapt to, and recover from disruptive events. While studies on resilience have attracted significant attention …

Manuela Chacon-Chamorro