Fullerenes are carbon molecules that form polyhedral cages. Their bond structures are
exactly the planar cubic graphs that have only pentagon and hexagon faces. Strikingly, a …

This paper studies systematic exploration for reinforcement learning (RL) with rich
observations and function approximation. We introduce contextual decision processes …

The image biomarker standardisation initiative (IBSI) is an independent international
collaboration which works towards standardising the extraction of image biomarkers from …

Over the last decade, many power systems have significantly changed with the proliferation
of renewable generation sources, such as wind and solar photovoltaic. Due to their …

Yurii Nesterov Second Edition Page 1 Springer Optimization and Its Applications 137 Yurii
Nesterov Lectures on Convex Optimization Second Edition Page 2 Springer Optimization and …

A major research direction in contextual bandits is to develop algorithms that are
computationally efficient, yet support flexible, general-purpose function approximation …

The problem of maximizing a concave function f (x) in the unit simplex Δ can be solved
approximately by a simple greedy algorithm. For given k, the algorithm can find a point x (k) …

Augmented Lagrangian methods with general lower-level constraints are considered in the
present research. These methods are useful when efficient algorithms exist for solving …

We introduce a tool for the quantitative characterization of the departure from Markovianity of
a given dynamical process. Our tool can be applied to a generic N-level system and …

In this work we combine two distinct machine learning methodologies, sequential Monte
Carlo and Bayesian experimental design, and apply them to the problem of inferring the …