epo-entropy-regularized-policy-optimization

Stabilize multi-turn LLM agent training with entropy-regularized policy optimization that prevents exploration-exploitation cascade failures in sparse-reward environments through trajectory-level entropy regulation, historical smoothing, and adaptive phase-based weighting. Achieve up to 152% performance improvement on scientific reasoning tasks and 19.8% on…

Independent GitHub snapshot · Automated classification · Original documentation governs