Deep reinforcement-learning architecture combines pre-learned skills to create new sets of skills on the fly

phys.org

A team of researchers from the University of Edinburgh and Zhejiang University has developed a way to combine deep neural networks (DNNs) to create a new type of system with a new kind of learning ability. The group describes their new architecture and its performance in the journal Science Robotics.
Source: phys.org

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