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DeepMind recently introduced a new meta-learning approach that generates a reinforcement learning algorithm known as Learned Policy Gradient (LPG). According to the researchers, automating the discovery of update rules from data could lead to more efficient algorithms that could also be better adapted to specific environments.
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