activity
20172020
most citedUnsupervised Basis Function Adaptation for Reinforcement Learning

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

math.OC2020

Computing skeletons for rectilinearly-convex obstacles in the rectilinear plane

Marcus Volz, Marcus Brazil, Charl Ras +1

We introduce the concept of an obstacle skeleton which is a set of line segments inside a polygonal obstacle that can be used in place of when performing intersection tests…

cs.CG2020

Overlaid oriented Voronoi diagrams and the 1-Steiner tree problem

Michael S. Payne, Charl Ras, Marcus Volz

Overlaid oriented Voronoi diagrams (OOVDs) are known to provide useful data for the construction of optimal Euclidean -Steiner trees. The theoretical time complexity of construc…

math.CO2019

The -connected bottleneck Steiner network problem is NP-hard in any plane

M Brazil, C Ras, D Thomas +1

Bottleneck Steiner networks model energy consumption in wireless ad-hoc networks. The task is to design a network spanning a given set of terminals and at most Steiner points s…

cs.CG2019

Degree Bounded Bottleneck Spanning Trees in Three Dimensions

Patrick J. Andersen, Charl J. Ras

The geometric -minimum spanning tree problem (-MST) is the problem of finding a minimum spanning tree for a set of points in a normed vector space, such that no vertex in the…

cs.AI20174 cited

Unsupervised Basis Function Adaptation for Reinforcement Learning

Edward W. Barker, Charl J. Ras

When using reinforcement learning (RL) algorithms to evaluate a policy it is common, given a large state space, to introduce some form of approximation architecture for the value f…