sage-rl-agent

Enable agents to continuously improve by accumulating reusable skills across sequential task chains. Train via GRPO across task sequences where skills persist and compound, provide dual rewards for both task completion and skill generation/reuse—improving completion rates 8.9% while reducing token costs by 59% compared to non-skill baselines.

Independent GitHub snapshot · Automated classification · Original documentation governs