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Reinforcement Learning: How Machines Learn Through Trial and Error
At its core, reinforcement learning is a technique in which an agent learns to make decisions by interacting with an environment. The agent takes actions, receives feedback in the form of rewards or penalties, and adjusts its behavior to maximize cumulative rewards over time.
2 min read
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