Scientists at Sandia National Labs are teaching drones to play tag—not by programming them, but by letting them learn through reinforcement learning, rewarding smart moves and punishing mistakes. This experimental setup pushes the boundaries of autonomous systems, aiming to develop AI that can defend against threats like hostile drones in real-world conditions. The insights gained could revolutionize how machines make complex decisions independently. Beyond games, the same AI techniques are already being applied to critical tasks like inspecting nuclear waste with robot dogs, showcasing the real-world potential of this rapidly evolving technology.

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