Reinforcement Learning
Reinforcement Learning Introduction Reinforcement Learning (RL) is a type of machine learning paradigm where an agent learns to make decisions by interacting with an environment. The goal of the agent is to maximize a cumulative reward signal over time. Unlike supervised learning, where the agent is provided with labeled examples, or unsupervised learning, where it …