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Data-Efficient Scalable Reinforcement Learning for Practical Robotic Environments
Source: cordis.europa.eu Designing algorithms for more challenging data Machine Learning researchers often have to overcome the ‘sim-to-real’ transfer, where algorithmic feats accomplished in computer simulations can be Read More
Facebook’s AI teaches robots to navigate environments using less data
Source: venturebeat.com In a recent paper published on the preprint server Arxiv.org, researchers at Carnegie Mellon, Facebook, and the University of Illinois Urbana-Champaign propose Active Neural Simultaneous Localization and Read More
Seven Key Dimensions to Help You Understand Artificial Intelligence Environments
Source:- towardsdatascience.com Every artificial intelligence(AI) problem is a new universe of complexities and unique challenges. Very often, the most challenging aspects of solving an AI problem is not Read More