arxiv
PublishedSeptember 4, 2026 at 4:00 AM
—neutral
Towards Scaling Reinforcement Learning to Massive Populations: Learning Mean-Field Representations
Publisher summary· verbatim
arXiv:2609.02928v1 Announce Type: cross Abstract: Modern multi-agent systems are increasingly deployed at scale over large populations of agents in settings such as ad-auctions, traffic routing, and recommendation systems. The dominant approach in such settings is to optimize each agent's policy ind
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Originally published on arxiv ↗