Mechanism

Combines the simplicity of critic-free REINFORCE with key PPO stability optimizations: (1) token-level KL penalty added to rewards, (2) PPO-style ratio clipping, and (3) global batch advantage normalization (normalizing R(x,y)−b(x)R(x,y) - b(x) across the entire global batch rather than within small per-prompt groups, avoiding division by near-zero group variance). REINFORCE++-Baseline subtracts the group mean reward first and then applies global batch std normalization.

Practical Notes

Works with G=1G=1 (REINFORCE++) or G>1G>1 (REINFORCE++-Baseline) and avoids prompt-level std explosion.

References

  1. REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization ↗

    Jian Hu, Jason Klein Liu, Haotian Xu, Wei Shen · 2025