Instructional designers' perspectives on learners' responsibility for learning. - Michael T. Matthews; Stephen C. Yanchar (J. Comput. High. Educ., 2018)

Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning. - Michael T. Matthews; Mikayel Samvelyan; Jack Parker-Holder; Edward Grefenstette; Tim Rocktäschel (CoLLAs, 2022)

Multi-Modal Fusion by Meta-Initialization. - Matthew Thomas Jackson; Shreshth A. Malik; Michael T. Matthews; Yousuf Mohamed-Ahmed (CoRR, 2022)

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)

Policy-Guided Diffusion. - Matthew Thomas Jackson; Michael T. Matthews; Cong Lu; Benjamin Ellis; Shimon Whiteson; Jakob Nicolaus Foerster (RLJ, 2024)

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