Reinforcement learning

Reinforcement learning (RL) has surged in popularity over the past few months, largely thanks to Large Reasoning Models (LRMs) and test‑time scaling techniques. A solid understanding of RL fundamentals often makes the difference between a model that merely trains and one that converges stably and efficiently when applied to LLMs. To refresh my own knowledge, I’ve been revisiting … Read more