4. How Reinforcement Learning Uses Trial and Error

Reinforcement learning is a method where AI learns by interacting with its environment through trial and error. Instead of being told what is correct, it tries different actions, receives rewards for good results and penalties for mistakes, and gradually improves its decisions over time. This continuous process of trying, learning, and adapting helps the AI become more accurate and efficient without explicit instructions.

Видео 4. How Reinforcement Learning Uses Trial and Error канала DataVerse with Suriya Ramakrishnan