Show HN: I RL-trained an agent that trains models with RL (for –$1.3k)
Category: ai-ml
Tags: reinforcement-learning, meta-learning, ai-training, agent, open-source
Score: 7.8/10 (Innovation: 8, Technical: 8, Documentation: 8, Utility: 7)
This project implements a meta-RL pipeline where a language model agent is trained via reinforcement learning to write and submit RL training jobs for smaller models, using real GPU compute. It demonstrates impressive transfer learning to held-out tasks and carefully documents the reward design and training progression, making it a compelling proof-of-concept for automated AI training automation.
Target audience: AI researchers, ML engineers, reinforcement learning practitioners
Repository: https://github.com/Danau5tin/ai-trains-ai · Python · MIT
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