In 2013, a group of researchers from the University of Edinburgh published the largest study to date about the correlation between bilingualism and...

In fact, we found that the meta-RL agent could learn to quickly adapt in a wide domain of tasks with different rules and...

More broadly, our work reaffirms the potential of utilising algorithms thought to be used by the brain as inspiration for machine learning architectures....

By measuring network robustness in this way, we can evaluate whether a network is exploiting undesirable memorisation to “cheat.” Understanding how networks change...

This approach combines the strengths of two algorithms that are already well known in reinforcement learning and are also believed to exist in...

Another key challenge in contemporary AI research is known as transfer learning. To be able to deal effectively with novel situations, artificial agents...

May 5, 2014 Vasilis Vryniotis . 3 Comments In the ISO research project for my MSc in Machine...