CAPO Framework: How AI Learns Like Humans from Imitation to Discrimination

From Imitation to Discrimination: How a Generalized Curriculum Advantage Mechanism Enhances Cross-Domain Reasoning in AI Summary: This article introduces CAPO (Curriculum Advantage Policy Optimization), an innovative reinforcement learning training paradigm. It employs a staged curriculum, first using positive-advantage samples for imitation learning to build a stable foundation, then introducing negative-advantage samples for discrimination learning to enhance generalization. The method is compatible with mainstream optimization algorithms like GRPO and PPO, consistently improving mathematical reasoning performance by 1.7 to 4.0 points, and effectively generalizes to multimodal GUI reasoning scenarios with a 3.81-point gain, establishing itself as a versatile and robust optimization framework. …