Search Results for author: Michael Beukman

Found 10 papers, 8 papers with code

Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity Recognition

1 code implementation11 Sep 2023 Michael Beukman, Manuel Fokam

Transfer learning has led to large gains in performance for nearly all NLP tasks while making downstream models easier and faster to train.

Cross-Lingual Transfer named-entity-recognition +2

Hierarchically Composing Level Generators for the Creation of Complex Structures

1 code implementation3 Feb 2023 Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Nasir, Branden Ingram, Benjamin Rosman, Steven James

Procedural content generation (PCG) is a growing field, with numerous applications in the video game industry and great potential to help create better games at a fraction of the cost of manual creation.

Augmentative Topology Agents For Open-Ended Learning

1 code implementation20 Oct 2022 Muhammad Umair Nasir, Michael Beukman, Steven James, Christopher Wesley Cleghorn

In this work, we tackle the problem of open-ended learning by introducing a method that simultaneously evolves agents and increasingly challenging environments.

Adaptive Online Value Function Approximation with Wavelets

1 code implementation22 Apr 2022 Michael Beukman, Michael Mitchley, Dean Wookey, Steven James, George Konidaris

We further demonstrate that a fixed wavelet basis set performs comparably against the high-performing Fourier basis on Mountain Car and Acrobot, and that the adaptive methods provide a convenient approach to addressing an oversized initial basis set, while demonstrating performance comparable to, or greater than, the fixed wavelet basis.

Acrobot

Procedural Content Generation using Neuroevolution and Novelty Search for Diverse Video Game Levels

1 code implementation14 Apr 2022 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.

Towards Objective Metrics for Procedurally Generated Video Game Levels

1 code implementation25 Jan 2022 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.

Cannot find the paper you are looking for? You can Submit a new open access paper.