A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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Proposes a reinforcement learning approach enabling coordination in heterogeneous multi-agent systems where agents may use different learning algorithms and parameters.
Peilin Feng, Suorong Yang, Soujanya Poria
Introduces Σ-Mem, an online reliability memory for LLM-based multi-agent systems that records and updates agent competence and relationship evidence, enabling stable adaptation and improved coordination.
Victoria Dochkina
LLM agents spontaneously self-organize into specialized roles and hierarchies without pre-assignment, outperforming centralized coordination by 14%.
Wei Ren, Ella Atkins
This paper extends first-order consensus protocols to second-order dynamics for distributed multi-vehicle coordination, deriving necessary and sufficient conditions for consensus under unidirectional information exchange.
Ali Jadbabaie, Jie Lin, A. Stephen Morse
Provides a theoretical explanation for the emergent consensus in the Vicsek model of autonomous agents using nearest neighbor rules, proving convergence without a common quadratic Lyapunov function.