Much information and knowledge work (with and without information technology) can be characterised as multitasking and interrupt driven. A whole host of characterisations and buzz...
A key prerequisite to optimal reasoning under uncertainty in intelligent systems is to start with good class probability estimates. This paper improves on the current best probabi...
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Self-localisation is an essential competence for mobile robot navigation. Due to the fundamental unreliability of dead reckoning, a robot must depend on its perception of external...
Gridworlds are popular testbeds for planning with incomplete information but not much is known about their properties. We study a fundamental planning problem, localization, to in...