Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps. - Benjamin Ellis; Matthew Thomas Jackson; Andrei Lupu; Alexander David Goldie; Mattie Fellows; Shimon Whiteson; Jakob N. Foerster (NeurIPS, 2024)

Can Learned Optimization Make Reinforcement Learning Less Difficult? - Alexander David Goldie; Chris Lu 001; Matthew Thomas Jackson; Shimon Whiteson; Jakob N. Foerster (NeurIPS, 2024)

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)

How Should We Meta-Learn Reinforcement Learning Algorithms? - Alexander David Goldie; Zilin Wang; Jakob Nicolaus Foerster; Shimon Whiteson (CoRR, 2025)