New RLVR Method Uses Parameter-Space Exploration to Stabilize LLM Training
BayesRL · hf · 2026-08-13
This project introduces a parameter-space exploration method via variational learning to improve reinforcement learning for LLMs (RLVR).
By using perturbed policy sampling, the approach diversifies rollouts during training. Compared to traditional action-space exploration methods, this technique significantly reduces training failures and enhances overall stability.
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