Research

We employ deep multi-agent reinforcement learning to model the emergence of cooperation. The new notion of sequential social dilemmas allows us to model how rational agents interact, and arrive at more or less cooperative behaviours depending on the na…

When I was studying in the mid-90s as an undergraduate, there was very little active engagement between the academic communities pushing the boundaries of maths and science, and the industries that many students ended up going into, such as finance. Th…

In a world of fiercely complex, emergent, and hard-to-master systems – from our climate to the diseases we strive to conquer – we believe that intelligent programs will help unearth new scientific knowledge that we can use for social benefit. To achiev…

Were really excited to announce that weve agreed a five year partnership with Imperial College Healthcare NHS Trust, helping them make the most of the opportunity for mobile clinical applications to improve care. This is now our second NHS partnership …

Scaling Memory-Augmented Neural Networks with Sparse Reads and WritesAuthors:J Rae, JJ Hunt, T Harley, I Danihelka, A Senior, G Wayne, A Graves, T LillicrapWe can recall vast numbers of memories, making connections between superficially unrelated event…

The second blog post in this series, sharing brief descriptions of the papers we are presenting at NIPS 2016 Conference in Barcelona.Sequential Neural Models with Stochastic LayersAuthors:Marco Fraccaro, Sren Kaae Snderby, Ulrich Paquet, Ole WintherMuc…