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Reinforcement Learning Basics. How AI Learns from Experience [Episode13]


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Reinforcement Learning Basics: How AI Learns from Experience — This episode explores how artificial intelligence systems learn by interacting with their environment, using rewards and penalties to improve over time. Discover how trial-and-error learning enables AI to make smarter decisions, adapt to complex situations, and power real-world applications like robotics, gaming, and autonomous systems.

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NextGen Science HubBy Kaizwan Science