Reinforcement learning RL
ML paradigm where an agent learns through reward — try, get feedback, improve.
Behind AlphaGo, robotics, self-driving. Drove RLHF as the finish on every modern LLM. Tricky to design the right reward function — wrong reward, wrong behaviour.