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Scaling offline MARL to thousands of agents is now tractable: MF-Diffuser uses mean-field theory to plan in trajectory distribution space, sidestepping the curse of dimensionality.
LLM-based multi-agent systems can be optimized far more efficiently by decomposing credit assignment temporally and structurally, pinpointing weak links for targeted refinement.
AgentSchool offers a powerful new way to simulate educational environments, moving beyond simple role-play to model learning as a dynamic state transition and providing a testbed for long-horizon memory and multi-agent coordination.
