Towards Scaling Reinforcement Learning to Massive Populations: Learning Mean-Field Representations
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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 in…
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- 2026-09-04 04:00 · arXiv stat.ML
Towards Scaling Reinforcement Learning to Massive Populations: Learning Mean-Field Representations