Artificial Intelligence, Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning.
mimics the way humans learn by trial and error. In this paradigm, an agent interacts with an environment, receiving feedback in the form of rewards or penalties. The model learns to make decisions that maximize cumulative rewards over time, making it suitable for tasks such as game-playing and