You don't pick the RL algorithm — SIA's Feedback loop does (opens in new tab)

SIA (Self Improving AI), released by Hexo Labs on May 26, 2026 , is the first open-source framework that co-evolves both an agent's scaffold and its model weights inside a single iterative loop. The MIT-licensed code is on github.com/hexo-ai/sia. This tutorial walks through the feedback loop logic, prerequisites, and a runnable five-generation LawBench experiment. The Feedback Loop That Decides PPO, GRPO, or EAW SIA's Feedback-Agent reads full execution trajectories, reward metrics, and task ...