Tag: Reinforcement Learning: Optimizing

Imagine teaching a dog a new trick. You don't give it step-by-step instructions, but rather reward it when it gets closer to the desired behavior. That's the essence of reinforcement learning (RL), a powerful branch of artificial intelligence that allows agents to learn optimal behavior through trial and error, receiving feedback in the form of rewards or penalties. Unlike supervised learning, there's no labeled training data; the agent discovers the best strategy by interacting with its environment. Let's delve into the fascinating world of reinforcement learning and explore its core concepts, algorithms, and practical applications. What is Reinforcement Learning? Reinforcement learning is a machine learning paradigm where an "agent" learns to make decisions in an environment to maximize ...