7 Computer Vision News at NAVER LABS Europe in Grenoble In particular, he explained how data factorization techniques using Tensor Networks could be useful for global discrete/continuous optimization in hard planning problems, and how geometric algebra could offer an elegant and efficient framework to acquire skills from a small set of interactions. Modular approaches were also suggested by Devendra Chaplot, researcher at Mistral AI, in particular for indoor navigation. He showed that this kind of structured decomposition is capable of being deployed in real environments of various types after being trained in simulation only. He also showed that Devendra S. Chaplot (Mistral AI) on modular approaches for navigation, trained in simulation and evaluated in real environments.
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