Tag: Reinforcement Learning: Decision

Imagine teaching a dog a new trick, but instead of explicitly showing them what to do, you reward them with treats when they accidentally get closer to the desired behavior. That, in essence, is the core principle behind Reinforcement Learning (RL), a powerful branch of machine learning that's revolutionizing fields from robotics and game playing to finance and healthcare. This blog post will delve into the intricacies of RL, exploring its core concepts, practical applications, and the exciting future it holds. What is Reinforcement Learning? Reinforcement Learning is a type of machine learning where an agent learns to make decisions in an environment to maximize a cumulative reward. Unlike supervised learning, which learns from labeled data, RL learns through trial and error. The agent in...