438 citations · 875 across the 77 of their papers we have counts for
13 papers · 1 filter
First order online optimisation using forward gradients in over-parameterised systems
Behnam Mafakheri, Iman Shames, Jonathan H. Manton
The success of deep learning over the past decade mainly relies on gradient-based optimisation and backpropagation. This paper focuses on analysing the performance of first-order g…
Minimum-Time Escape from a Circular Region for a Dubins Car
Timothy L. Molloy, Iman Shames
We investigate the problem of finding paths that enable a robot modeled as a Dubins car (i.e., a constant-speed finite-turn-rate unicycle) to escape from a circular region of space…
The Replicator Dynamic, Chain Components and the Response Graph
Oliver Biggar, Iman Shames
In this paper we examine the relationship between the flow of the replicator dynamic, the continuum limit of Multiplicative Weights Update, and a game's response graph. We settle a…
The graph structure of two-player games
Oliver Biggar, Iman Shames
In this paper we analyse two-player games by their response graphs. The response graph has nodes which are strategy profiles, with an arc between profiles if they differ in the str…
A Logistic Regression Approach to Field Estimation Using Binary Measurements
Alex S. Leong, Mohammad Zamani, Iman Shames
In this letter, we consider the problem of field estimation using binary measurements. Previous work has formulated the problem as a parameter estimation problem, with the paramete…
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise
Benjamin Gravell, Iman Shames, Tyler Summers
We propose a robust data-driven output feedback control algorithm that explicitly incorporates inherent finite-sample model estimate uncertainties into the control design. The algo…