Reinforcement Learning: Learning by Interacting with the Environment

Reinforcement learning is a type of machine learning where an agent learns to make decisions by taking actions in an environment. The agent receives rewards or penalties for its actions and aims to maximize its total reward. It’s widely used in robotics, gaming, and navigation.

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