Mattie Fellows

According to our database, Mattie Fellows authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Simplifying Deep Temporal Difference Learning.

Matteo Gallici, Mattie Fellows, Benjamin Ellis, Bartomeu Pou, Ivan Masmitja, Jakob Nicolaus Foerster, Mario Martin

CoRR, 2024

A Bayesian Solution To The Imitation Gap.

Risto Vuorio, Mattie Fellows, Cong Lu, Clémence Grislain, Shimon Whiteson

CoRR, 2024

Refining Minimax Regret for Unsupervised Environment Design.

Michael Beukman, Samuel Coward, Michael T. Matthews, Mattie Fellows, Minqi Jiang, Michael Dennis, Jakob N. Foerster

CoRR, 2024

Bayesian Exploration Networks.

Mattie Fellows, Brandon Kaplowitz, Christian Schröder de Witt, Shimon Whiteson

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Refining Minimax Regret for Unsupervised Environment Design.

Michael Beukman, Samuel Coward, Michael Matthews, Mattie Fellows, Minqi Jiang, Michael D. Dennis, Jakob Nicolaus Foerster

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Why Target Networks Stabilise Temporal Difference Methods.

Mattie Fellows, Matthew J. A. Smith, Shimon Whiteson

Proceedings of the International Conference on Machine Learning, 2023

2021

Bayesian Bellman Operators.

Mattie Fellows, Kristian Hartikainen, Shimon Whiteson

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021