Reinforcement Learning Algorithms
Reinforcement Learning Algorithms are a type of machine learning technique that enable an agent to learn how to make decisions by interacting with an environment. These algorithms use a trial-and-error approach, where the agent receives feedback in the form of rewards or penalties based on its actions. Over time, the agent learns to maximize its rewards by adjusting its actions accordingly. Reinforcement learning algorithms are used in a variety of applications, such as robotics, gaming, and autonomous driving.