The empirical study of learning and decision-making, in both humans and non-human animals, has catalogued a wealth of evidence consistent with the idea that behaviour is governed by at least two ...

As the adoption of electric vehicles (EVs) accelerates, addressing the challenges of large-scale, city-wide optimization becomes critical in ensuring efficient use of charging infrastructure and ...

Didi, China’s Uber equivalent, has been testing out a new algorithm for assigning drivers to riders in select cities. The dispatching system uses reinforcement learning (RL), a subset of machine ...

The last decade of tech was to a large part defined by the advent of Deep Supervised Learning (DL). The availability of cheap data at scale, computational power, and researcher interest have made it ...