What is Reinforcement Learning?
Reinforcement Learning (RL) is a type of artificial intelligence approach where a system learns to make decisions through trial and error. It is similar to teaching a child to ride a bike; the child learns to balance and pedal through practice and adjusting their actions based on the outcome, like staying upright or falling.
The RL process involves three key components:
States: These are like different scenarios or situations the system finds itself in.
Actions: These are the various moves or decisions the system can make in each state.
Rewards: After taking an action, the system receives feedback, known as a reward, which tells it how good the decision was.