AI RESEARCH
Discovering Multiagent Learning Algorithms with Large Language Models
arXiv CS.AI
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ArXi:2602.16928v3 Announce Type: replace-cross Much of the advancement in Multi-Agent Reinforcement Learning (MARL) for imperfect-information games has historically depended on the manual, iterative refinement of algorithmic baselines. Recently, evolutionary coding agents powered by Large Language Models (LLMs) have emerged as powerful tools to automate this discovery process.