Live page · Day archive

RSIPO: Recursive Self-Improving Policy Optimization for Agentic Reinforcement Learning via Skill-Policy Co-Evolution

Read the original at HF Daily Papers

Summary

RSIPO is a self-evolving agentic reinforcement learning framework that allows skills and policies to co-evolve during training. It uses empirical Bayes shrinkage to calibrate trust in teacher scores.

Carried by: HF Daily Papers. First seen: .