AIBullisharXiv – CS AI · 6h ago6/10
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FBOS-RL: Feedback-Driven Bi-Objective Synergistic Reinforcement Learning
Researchers introduce FBOS-RL, a reinforcement learning algorithm that improves upon GRPO by incorporating feedback-guided exploration and dual training objectives (EPA and ECC) to address the problem of training stagnation when tasks exceed the model's current capabilities. The method demonstrates faster learning and higher performance ceilings compared to existing approaches while maintaining higher policy entropy and lower gradient norms.