Bayesian Bellman Operators. - Mattie Fellows; Kristian Hartikainen; Shimon Whiteson (NeurIPS, 2021)

Why Target Networks Stabilise Temporal Difference Methods. - Mattie Fellows; Matthew J. A. Smith; Shimon Whiteson (ICML, 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)

Bayesian Exploration Networks. - Mattie Fellows; Brandon Kaplowitz; Christian Schröder de Witt; Shimon Whiteson (ICML, 2024)

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)

A Bayesian Solution To The Imitation Gap. - Risto Vuorio; Mattie Fellows; Cong Lu; Clémence Grislain; Shimon Whiteson (CoRR, 2024)

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

SOReL and TOReL: Two Methods for Fully Offline Reinforcement Learning. - Mattie Fellows; Clarisse Wibault; Uljad Berdica; Johannes Forkel; Michael A. Osborne; Jakob N. Foerster (CoRR, 2025)