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Northwestern University engineers have developed a new AI algorithm, called Maximum Diffusion Reinforcement Learning (MaxDiff RL), specifically designed for smart robotics. This algorithm encourages robots to explore their environments randomly, leading to faster and more efficient learning and improved performance. In simulated tests, robots using this algorithm consistently outperformed state-of-the-art models, learning and successfully performing new tasks on the first attempt.