AN AI has learned to tackle one of the toughest Atari video games by taking instructions in plain English. The system, developed by a team at Stanford University in California, learned to play Montezuma's Revenge, in which players scour an Aztec temple for treasure. The game is challenging for an AI to learn because players have to make several moves before earning any points. Most video-game-playing AIs use reinforcement learning to develop a strategy, relying on feedback like points to tell them when they are playing well.
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