🏔️ My Research Stay in Utah: Science, Language, and Life Abroad
A reflection on my research stay at the University of Utah, where I worked on preference learning in multi-agent reinforcement learning and experienced academic and cultural life …
A reflection on my research stay at the University of Utah, where I worked on preference learning in multi-agent reinforcement learning and experienced academic and cultural life …
Version note. This entry corresponds to the revised camera-ready manuscript accepted at FAIEMA 2026. It is distinct from the earlier arXiv preprint, “Evaluating Cooperative …
In this talk, I presented our pilot study comparing cooperative resilience in human groups and LLM-based multi-agent systems under disruptions.
Abstract. Multi-agent social dilemmas, such as the tragedy of the commons, capture settings where individual incentives conflict with collective well-being, making these systems …
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 …
En esta charla hablaremos sobre mi investigación actual en sistemas multiagente de intereses mixtos y la experiencia en el camino del doctorado.
A selection of foundational and recent papers that have shaped how I think about cooperation, mixed-motive environments, reward learning, LLM-based agents, and resilience in …
Abstract. Large Language Model (LLM) agents have demonstrated impressive capabilities for social interaction and are increasingly being deployed in situations where they might …
Highlights from my experience at the Cooperative AI Foundation Summer School — where researchers from around the world gathered to discuss how cooperation and AI can help address …
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 …