How do robots learn to walk, fly, or adapt in the real world? The answer lies in reinforcement learning — an AI training method inspired by trial, error, and reward. In this episode, we explore how reinforcement learning is powering the next generation of intelligent robotics, from autonomous drones to agile humanoids. With each iteration, machines are learning to make decisions in unpredictable environments — but what happens when they start to learn faster than we can track?

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