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

“Deep neural networks are able to learn functions by training on multiple examples repeatedly. To date, they have been used in a wide variety of applications such as recognizing faces in a crowd or deciding whether a loan applicant is credit-worthy. In this new effort, the researchers have combined several DNNs developed for different applications to create a new system with the benefits of all of its constituent DNNs. They report that the resulting system was more than just the sum of its parts—it was able to learn new functions that none of the DNNs could do working alone. The researchers call it a multi-expert learning architecture (MELA)…”

Source: https://techxplore.com/news/2020-12-deep-reinforcement-learning-architecture-combines-pre-learned.html