Reinforcement Learning - A Tic Tac Toe Example

Reinforcement Learning is a step by step machine learning process where, after each step, the machine receives a reward that reflects how good or bad the step was in terms of achieving the target goal. By exploring its environment and exploiting the most rewarding steps, it learns to choose the best action at each stage.