An AI training method where agents learn through trial and error, reinforcement learning rewards desired actions and penalizes mistakes. It powers autonomous systems like self-driving cars, robotics, and game-playing AIs. Industries from finance to healthcare benefit, using it to optimize trading strategies, personalize treatments, or improve logistics efficiency.
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