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The AI approach where systems learn by trial and error using rewards and penalties is called ________ Learning.
Answer: Reinforcement
Reinforcement Learning (RL) trains agents to make sequential decisions by interacting with an environment and receiving rewards/penalties. Used in robotics, game playing (AlphaGo), autonomous vehicles, and resource optimization. Differs from supervised learning (labeled data) and unsupervised learning (pattern discovery).