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AGI refers to a type of artificial intelligence that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks, similar to human cognitive abilities. Unlike narrow AI, which is designed for specific tasks, AGI aims to perform any intellectual task that a human can do.
Reinforcement learning is a subset of machine learning where an agent learns to make decisions by taking actions in an environment to maximize cumulative rewards. The agent receives feedback in the form of rewards or penalties and adjusts its strategy over time to improve its performance.