stable-drl

Fixes training instability in Group Relative Policy Optimization for discrete language models by replacing conditional clipping with strict importance ratio bounds and self-normalized advantages. Prevents gradient spikes and policy collapse.

Independent GitHub snapshot · Automated classification · Original documentation governs