4 papers · 1 filter
World Models Unlock Optimal Foraging Strategies in Reinforcement Learning Agents
Yesid Fonseca, Manuel S. Ríos, Nicanor Quijano +1
Patch foraging involves the deliberate and planned process of determining the optimal time to depart from a resource-rich region and investigate potentially more beneficial alterna…
The Illusion of Rationality: Tacit Bias and Strategic Dominance in Frontier LLM Negotiation Games
Manuel S. Ríos, Ruben F. Manrique, Nicanor Quijano +1
Large language models (LLMs) are increasingly being deployed as autonomous agents on behalf of institutions and individuals in economic, political, and social settings that involve…
Evaluating Cooperative Resilience in Multiagent Systems: A Comparison Between Humans and LLMs
Manuela Chacon-Chamorro, Juan Sebastián Pinzón, Rubén Manrique +2
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 disruptive…
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
Chandler Smith, Marwa Abdulhai, Manfred Diaz +83
Large Language Model (LLM) agents have demonstrated impressive capabilities for social interaction and are increasingly being deployed in situations where they might engage with bo…