16 citations · 18 across the 7 of their papers we have counts for
4 papers · 1 filter
Augmentative Topology Agents For Open-Ended Learning
Muhammad Umair Nasir, Michael Beukman, Steven James +1
In this work, we tackle the problem of open-ended learning by introducing a method that simultaneously evolves agents and increasingly challenging environments. Unlike previous ope…
Adaptive Online Value Function Approximation with Wavelets
Michael Beukman, Michael Mitchley, Dean Wookey +2
Using function approximation to represent a value function is necessary for continuous and high-dimensional state spaces. Linear function approximation has desirable theoretical gu…
Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels
Michael Beukman, Christopher W Cleghorn, Steven James
Procedurally generated video game content has the potential to drastically reduce the content creation budget of game developers and large studios. However, adoption is hindered by…
Towards Objective Metrics for Procedurally Generated Video Game Levels
Michael Beukman, Steven James, Christopher Cleghorn
With increasing interest in procedural content generation by academia and game developers alike, it is vital that different approaches can be compared fairly. However, evaluating p…