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What is Reinforcement Learning?
Reinforcement learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with an environment. It's all about trial and error, and getting better over time through feedback. The agent receives rewards for good actions and penalties for bad ones, and it uses this feedback to learn an optimal policy, which is a strategy for making the best decisions in any given situation.
Written byLillian Kim
Published onFebruary 5, 2025
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