Author

Sankar V Harilal

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#machine learning Preprint Aug 2026

Demystifying Reinforcement Learning Post-Training of Language Models

This work deconstructs the RL post-training algorithm, investigating each step to clarify what is actually happening beneath the surface, and uses the entropy of the policy's output distribution as a lens to compare the distributions learned through pretraining, SFT, and RL post-training, revealing how each stage shape...

D. Clay, Saket Gollapudi, Sankar V Harilal et al. · 1 citation