EP293: Grading AI blueprints with Orch-RM

Title: Reward Modeling for Multi-Agent OrchestrationSource: http://arxiv.org/abs/2606.13598v1Summary:This paper presents OrchRM, a self-supervised framework that enables the training of multi-agent orchestrators without human annotations, achieving a 10x improvement in token efficiency. It establishes orchestration-level reward modeling as a scalable and foundational approach for coordinating specialized agents across diverse reasoning tasks and test-time scaling scenarios.