hands-on-modern-rl

Why we included this project

Hands-on Modern RL is aimed at engineers who ship ML models but have only a fuzzy grasp of how PPO, DPO, and GRPO training actually work. The course is practice-first: it starts with reinforcement learning fundamentals and builds toward LLM post-training, RLVR, and agentic systems. Each concept comes with runnable experiment code and line-by-line code maps that show how a formula becomes a training loop you can edit. It is published as an open online course with a downloadable PDF, so a team can work through it at its own pace and a lead can point newcomers to it. If alignment or RLVR is new territory for you, this is a good place to build intuition before you commit to a framework.