Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning
This work proposes Retention-aware Policy Optimization (RaPO), a simple yet effective RFT method that mitigates forgetting through trajectory-level reward shaping, and comprehensively evaluates RaPO across five visual continual learning settings.