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New reinforcement learning method uses human cues to correct its mistakes

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Scientists at the University of California, Berkeley have developed a novel machine learning (ML) method, termed “reinforcement learning via intervention feedback” (RLIF), that can make it easier to train AI systems for complex environments. 

RLIF merges reinforcement learning with interactive imitation learning, two important methods…

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