MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition. - David Ifeoluwa Adelani; Graham Neubig; Sebastian Ruder; Shruti Rijhwani; Michael Beukman; Chester Palen-Michel; Constantine Lignos; Jesujoba O. Alabi; Shamsuddeen Hassan Muhammad; Peter Nabende; Cheikh M. Bamba Dione; Andiswa Bukula; et al. (EMNLP, 2022)

Procedural content generation using neuroevolution and novelty search for diverse video game levels. - Michael Beukman; Christopher W. Cleghorn; Steven James 001 (GECCO, 2022)

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation. - David Ifeoluwa Adelani; Jesujoba O. Alabi; Angela Fan; Julia Kreutzer; Xiaoyu Shen 001; Machel Reid; Dana Ruiter; Dietrich Klakow; Peter Nabende; Ernie Chang; Tajuddeen Gwadabe; Freshia Sackey; et al. (NAACL-HLT, 2022)

Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages. - Idris Abdulmumin; Michael Beukman; Jesujoba O. Alabi; Chris Chinenye Emezue; Everlyn Chimoto; Tosin P. Adewumi; Shamsuddeen Hassan Muhammad; Mofetoluwa Adeyemi; Oreen Yousuf; Sahib Singh; Tajuddeen Gwadabe (WMT, 2022)

Towards Objective Metrics for Procedurally Generated Video Game Levels. - Michael Beukman; Steven James 001; Christopher W. Cleghorn (CoRR, 2022)

Adaptive Online Value Function Approximation with Wavelets. - Michael Beukman; Michael Mitchley; Dean S. Wookey; Steven James 001; George Konidaris 001 (CoRR, 2022)

Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages. - Idris Abdulmumin; Michael Beukman; Jesujoba O. Alabi; Chris Emezue; Everlyn Asiko; Tosin P. Adewumi; Shamsuddeen Hassan Muhammad; Mofetoluwa Adeyemi; Oreen Yousuf; Sahib Singh; Tajuddeen Rabiu Gwadabe (CoRR, 2022)

Hierarchical WaveFunction Collapse. - Michael Beukman; Branden Ingram; Ireton Liu; Benjamin Rosman (AIIDE, 2023)

Augmentative Topology Agents For Open-Ended Learning. - Muhammad Umair Nasir; Michael Beukman; Steven James 001; Christopher W. Cleghorn (GECCO Companion, 2023)

Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity Recognition. - Michael Beukman; Manuel Fokam (IJCNLP (1), 2023)

Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. - Michael Beukman; Devon Jarvis; Richard Klein; Steven James 001; Benjamin Rosman (NeurIPS, 2023)

Refining Minimax Regret for Unsupervised Environment Design. - Michael Beukman; Samuel Coward; Michael T. Matthews; Mattie Fellows; Minqi Jiang; Michael D. Dennis; Jakob Nicolaus Foerster (ICML, 2024)

Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning. - Michael T. Matthews; Michael Beukman; Benjamin Ellis; Mikayel Samvelyan; Matthew Thomas Jackson; Samuel Coward; Jakob Nicolaus Foerster (ICML, 2024)

No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery. - Alexander Rutherford; Michael Beukman; Timon Willi; Bruno Lacerda; Nick Hawes; Jakob N. Foerster (NeurIPS, 2024)

Second Life: Enabling a Student Special Interest Group through Decommissioned HPC Systems. - Michael Beukman; Sayfullah Jumoorty; Jonathan Luke Faller; Eugene de Beste; Bryan Johnston (PEARC, 2024)

JaxUED: A simple and useable UED library in Jax. - Samuel Coward; Michael Beukman; Jakob N. Foerster (CoRR, 2024)

RobocupGym: A challenging continuous control benchmark in Robocup. - Michael Beukman; Branden Ingram; Geraud Nangue Tasse; Benjamin Rosman; Pravesh Ranchod (CoRR, 2024)

JaxLife: An Open-Ended Agentic Simulator. - Chris Lu 001; Michael Beukman; Michael T. Matthews; Jakob N. Foerster (CoRR, 2024)

Hierarchically Composing Level Generators for the Creation of Complex Structures. - Michael Beukman; Manuel Fokam; Marcel Kruger; Guy Axelrod; Muhammad Umair Nasir; Branden Ingram; Benjamin Rosman; Steven James 001 (IEEE Trans. Games, 2024)

Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks. - Michael T. Matthews; Michael Beukman; Chris Lu 001; Jakob Nicolaus Foerster (ICLR, 2025)

An Optimisation Framework for Unsupervised Environment Design. - Nathan Monette; Alistair Letcher; Michael Beukman; Matthew Thomas Jackson; Alexander Rutherford; Alexander David Goldie; Jakob N. Foerster (CoRR, 2025)