s3 paper trains agent swarms to coordinate via cooperative RL
The non-obvious takeaway is that orchestration logic can itself be learned, removing the main engineering bottleneck in multi-agent deployments: hand-written, task-specific plans. Builders of agent frameworks and enterprise teams running parallel workloads should study the transfer-to-larger-swarm result, since it implies training on small teams can pay off at production scale. It compares directly against best-of-N selection, the most common alternative for boosting parallel agent performance.
