Beukman, Michael

8 publications

ICLR 2025 Kinetix: Investigating the Training of General Agents Through Open-Ended Physics-Based Control Tasks Michael Matthews, Michael Beukman, Chris Lu, Jakob Nicolaus Foerster

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

NeurIPS 2024 No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery Alex Rutherford, Michael Beukman, Timon Willi, Bruno Lacerda, Nick Hawes, Jakob Foerster

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

NeurIPSW 2024 Robust Offline Learning via Adversarial World Models Uljad Berdica, Kelvin Li, Michael Beukman, Alexander David Goldie, Perla Maiolino, Jakob Nicolaus Foerster

NeurIPSW 2024 Track 1: Robust Offline Learning via Adversarial World Models Uljad Berdica, Kelvin Li, Michael Beukman, Alexander David Goldie, Perla Maiolino, Jakob Nicolaus Foerster

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

ICLRW 2022 Analysing the Effects of Transfer Learning on Low-Resourced Named Entity Recognition Performance Michael Beukman