Show HN: I RL-trained an agent that trains models with RL (for –$1.3k)
A developer has open-sourced an AI agent trained via reinforcement learning (RL) that is capable of training other AI models. The project utilizes two separate RL loops to optimize model performance and infrastructure orchestration.
Why it matters
This represents a significant step toward autonomous AI development, where agents can iteratively improve the training processes of other models with minimal human intervention.
🔓 Everything is open sourced including: the trained agent's weights ( LoRA adapter on 🤗 HF ), agent harness, task families, reward code, GPU orchestration, tinker RL training scripts, and retro write-ups of every pilot (including the failures). Jump to Getting started ↓
Technical documentation of an open-source project with no political or social bias.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in