[KongchangAI]
ConceptOn-Policy Orchestration Distillation / 在策略编排蒸馏

OPOD

OPOD (On-Policy Orchestration Distillation) is an optimization method within the POrchestra framework. It back-attributes sub-agent proactive revision requests to prior orchestration decisions, providing process supervision signals that, combined with final rewards, jointly optimize the orchestration strategy. This approach addresses the sparse feedback problem common in long-horizon task execution.

Timeline (last 90 days)

Oct 12

The researchers proposed the optimization method On-Policy Orchestration Distillation (OPOD).

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Oct 12

OPOD retrospectively attributes the sub-agent's proactive revision requests to prior orchestration decisions, derives improvement signals, and uses them jointly as process supervision alongside final rewards.

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Oct 12

With OPOD, the success rate of small orchestrators improves by an average of 10.0% compared to existing training baselines.

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