Show HN: Hands-on course for building RL environments for LLMs

Category: ai-ml

Tags: reinforcement-learning, language-models, educational-course, ai-training

Score: 6.3/10 (Innovation: 6, Technical: 5, Documentation: 8, Utility: 6)

A hands-on educational course teaching how to build Reinforcement Learning environments for training and evaluating Language Models, using Tic Tac Toe as a practical example. It's interesting because it bridges the gap between traditional RL and modern LLM fine-tuning, offering a concrete, project-based learning path for a niche but growing area of AI engineering.

Target audience: ai engineers, ml practitioners, curious tinkerers

Repository: https://github.com/anakin87/llm-rl-environments-lil-course · Python · Apache-2.0 · 50 stars

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