Understanding Reinforcement Learning: Concepts, Algorithms, and Applications
Introduction Reinforcement Learning (RL) stands as a powerful paradigm in the field of Artificial Intelligence (AI) that enables agents to learn optimal behaviors through trial and error. Unlike supervised learning, which relies on labeled datasets, RL focuses on learning the best actions to take in various states of an environment to maximize cumulative rewards. This […]