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LLMs can learn to avoid repeating mistakes by remembering and penalizing frequently recurring error patterns in past rollouts.
PPO's fixed clipping hurts exploration by squashing high-reward, low-probability actions, but BandPO fixes this with probability-aware bounds that boost performance.
