Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2610.22322.

Pipeline notes

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

Researchers propose Market-based Post-Training (MPT), a framework where decentralized agent swarms jointly learn action policies and self-orchestration via bidding. Evaluated on embodied crafting, robot navigation, and deep research, MPT outperforms fixed-orchestration baselines and shows improved scaling and robustness to agent dropout.

Concrete learned-coordination mechanism for decentralized multi-agent systems, with code and models released. Relevant to builders designing agent swarms that must scale or tolerate member failure.

Cited by

No citations on record.