Fellows, Mattie

6 publications

ICLR 2025 Simplifying Deep Temporal Difference Learning Matteo Gallici, Mattie Fellows, Benjamin Ellis, Bartomeu Pou, Ivan Masmitja, Jakob Nicolaus Foerster, Mario Martin

NeurIPS 2024 Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps Benjamin Ellis, Matthew T. Jackson, Andrei Lupu, Alexander D. Goldie, Mattie Fellows, Shimon Whiteson, Jakob N. Foerster

ICML 2024 Bayesian Exploration Networks Mattie Fellows, Brandon Gary Kaplowitz, Christian Schroeder De Witt, Shimon Whiteson

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

ICML 2023 Why Target Networks Stabilise Temporal Difference Methods Mattie Fellows, Matthew J. A. Smith, Shimon Whiteson

NeurIPS 2021 Bayesian Bellman Operators Mattie Fellows, Kristian Hartikainen, Shimon Whiteson