Výsledky vyhledávání - "Rios, Manuel"

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Cooperative Resilience in Artificial Intelligence Multiagent Systems

Autor: Chacon-Chamorro, Manuela, Giraldo, Luis Felipe, Quijano, Nicanor, Vargas-Panesso, Vicente, González, César, Pinzón, Juan Sebastián, Manrique, Rubén, Ríos, Manuel, Fonseca, Yesid, Gómez-Barrera, Daniel, Perdomo-Pérez, Mónica

Resilience refers to the ability of systems to withstand, adapt to, and recover from disruptive events. While studies on resilience have attracted significant attention across various research domains, the precise definition of this concept within th

Externí odkaz: http://arxiv.org/abs/2409.13187

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Can LLM-Augmented autonomous agents cooperate?, An evaluation of their cooperative capabilities through Melting Pot

Autor: Mosquera, Manuel, Pinzon, Juan Sebastian, Rios, Manuel, Fonseca, Yesid, Giraldo, Luis Felipe, Quijano, Nicanor, Manrique, Ruben

As the field of AI continues to evolve, a significant dimension of this progression is the development of Large Language Models and their potential to enhance multi-agent artificial intelligence systems. This paper explores the cooperative capabiliti

Externí odkaz: http://arxiv.org/abs/2403.11381

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ROSE: A reduced-order scattering emulator for optical models

Autor: Odell, Daniel, Giuliani, Pablo, Beyer, Kyle, Catacora-Rios, Manuel, Chan, Moses Y. -H., Bonilla, Edgard, Furnstahl, Richard J., Godbey, Kyle, Nunes, Filomena M.

A new generation of phenomenological optical potentials requires robust calibration and uncertainty quantification, motivating the use of Bayesian statistical methods. These Bayesian methods usually require calculating observables for thousands or ev

Externí odkaz: http://arxiv.org/abs/2312.12426

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Understanding the World to Solve Social Dilemmas Using Multi-Agent Reinforcement Learning

Autor: Rios, Manuel, Quijano, Nicanor, Giraldo, Luis Felipe

Social dilemmas are situations where groups of individuals can benefit from mutual cooperation but conflicting interests impede them from doing so. This type of situations resembles many of humanity's most critical challenges, and discovering mechani

Externí odkaz: http://arxiv.org/abs/2305.11358

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