What is Reinforcement Learning
Reinforcement learning is a type of machine learning that involves training an agent to take actions in an environment to maximize a reward. The agent is trained through trial and error by interacting with the environment and receiving feedback through rewards or punishments.
Let's explore it using an analogy
Imagine you are a dog owner trying to train your dog to perform tricks. You start by rewarding the dog with treats every time it performs a trick correctly. For example, if you want to teach the dog to sit, you give it a treat every time it sits on command.
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