Reinforcement Learning

Fundamentals

Training AI through trial and error - the system tries actions, gets rewards or penalties, and gradually learns what works.

Reinforcement learning works like training a pet: no instruction manual, just feedback. The AI acts in an environment, receives rewards for good outcomes and penalties for bad ones, and updates its strategy to collect more reward over time.It taught AI to beat world champions at Go and it tunes the behavior of modern chat assistants - the technique called RLHF uses human feedback as the reward signal. It suits problems where decisions unfold step by step, like robotics, game playing, and resource optimization.