Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2611.08615.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

A multi-agent reinforcement learning method lets agents learn when to work alone, exchange findings, and read teammates’ messages without predefined roles or harnesses. The paper reports emergent complementary roles, generalization to larger teams, improved coordination, and reduced duplicated exploration work.

Offers a concrete alternative to hand-designed multi-agent roles, with matched-budget results that make learned coordination policies relevant to scalable agent-team design.

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