Description
Imagine teaching a dog a new trick. You reward it for good behavior and correct it when it makes mistakes. Through trial and error, the dog eventually learns the desired behavior. This is the essence of reinforcement learning (RL), a powerful type of AI where agents learn by interacting with an environment and receiving feedback through rewards or penalties.
Here is a peek into the fascinating world of training reinforcement learning models. Plus, the key concepts, algorithms, and techniques that empower you to create intelligent agents capable of learning complex tasks, solving problems, and achieving goals in diverse environments. Get ready to embark on a journey of teaching machines to learn like humans.
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