204 citations · 288 across the 13 of their papers we have counts for
13 papers
Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery
Peter J. Bentley, Soo Ling Lim, Paolo Arcaini +1
The use of autonomous robots for delivery of goods to customers is an exciting new way to provide a reliable and sustainable service. However, in the real world, autonomous robots…
The Agent-based Modelling for Human Behaviour Special Issue
Soo Ling Lim, Peter J. Bentley
If human societies are so complex, then how can we hope to understand them? Artificial Life gives us one answer. The field of Artificial Life comprises a diverse set of introspecti…
Temporally Extended Successor Representations
Matthew J. Sargent, Peter J. Bentley, Caswell Barry +1
We present a temporally extended variation of the successor representation, which we term t-SR. t-SR captures the expected state transition dynamics of temporally extended actions…
T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective
Adam Gaier, James Stoddart, Lorenzo Villaggi +1
Real-world design problems are a messy combination of constraints, objectives, and features. Exploring these problem spaces can be defined as a Multi-Criteria Exploration (MCX) pro…
COIL: Constrained Optimization in Learned Latent Space: Learning Representations for Valid Solutions
Peter J Bentley, Soo Ling Lim, Adam Gaier +1
Constrained optimization problems can be difficult because their search spaces have properties not conducive to search, e.g., multimodality, discontinuities, or deception. To addre…
PiNet: Attention Pooling for Graph Classification
Peter Meltzer, Marcelo Daniel Gutierrez Mallea, Peter J. Bentley
We propose PiNet, a generalised differentiable attention-based pooling mechanism for utilising graph convolution operations for graph level classification. We demonstrate high samp…