Elliot Catt

According to our database, Elliot Catt authored at least 17 papers between 2016 and 2024.

Collaborative distances:

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

2024

Evaluating Frontier Models for Dangerous Capabilities.

Mary Phuong, Matthew Aitchison, Elliot Catt, Sarah Cogan, Alexandre Kaskasoli, Victoria Krakovna, David Lindner, Matthew Rahtz, Yannis Assael, Sarah Hodkinson, Heidi Howard, Tom Lieberum, Ramana Kumar, Maria Abi Raad, Albert Webson, Lewis Ho, Sharon Lin, Sebastian Farquhar, Marcus Hutter, Grégoire Delétang, Anian Ruoss, Seliem El-Sayed, Sasha Brown, Anca D. Dragan, Rohin Shah, Allan Dafoe, Toby Shevlane

CoRR, 2024

Grandmaster-Level Chess Without Search.

Anian Ruoss, Grégoire Delétang, Sourabh Medapati, Jordi Grau-Moya, Li Kevin Wenliang, Elliot Catt, John Reid, Tim Genewein

CoRR, 2024

Learning Universal Predictors.

Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness

CoRR, 2024

2023

Language Modeling Is Compression.

Grégoire Delétang, Anian Ruoss, Paul-Ambroise Duquenne, Elliot Catt, Tim Genewein, Christopher Mattern, Jordi Grau-Moya, Li Kevin Wenliang, Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness

CoRR, 2023

Self-Predictive Universal AI.

Elliot Catt, Jordi Grau-Moya, Marcus Hutter, Matthew Aitchison, Tim Genewein, Grégoire Delétang, Kevin Li, Joel Veness

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Memory-Based Meta-Learning on Non-Stationary Distributions.

Tim Genewein, Grégoire Delétang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness

Proceedings of the International Conference on Machine Learning, 2023

Neural Networks and the Chomsky Hierarchy.

Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Chris Cundy, Marcus Hutter, Shane Legg, Joel Veness, Pedro A. Ortega

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Beyond Bayes-optimality: meta-learning what you know you don't know.

Jordi Grau-Moya, Grégoire Delétang, Markus Kunesch, Tim Genewein, Elliot Catt, Kevin Li, Anian Ruoss, Chris Cundy, Joel Veness, Jane X. Wang, Marcus Hutter, Christopher Summerfield, Shane Legg, Pedro A. Ortega

CoRR, 2022

Neural Networks and the Chomsky Hierarchy.

Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, Tim Genewein, Li Kevin Wenliang, Elliot Catt, Marcus Hutter, Shane Legg, Pedro A. Ortega

CoRR, 2022

Reinforcement Learning with Information-Theoretic Actuation.

Elliot Catt, Marcus Hutter, Joel Veness

Proceedings of the Artificial General Intelligence - 15th International Conference, 2022

2021

Curiosity Killed or Incapacitated the Cat and the Asymptotically Optimal Agent.

Michael K. Cohen, Elliot Catt, Marcus Hutter

IEEE J. Sel. Areas Inf. Theory, 2021

On the formalisation of Kolmogorov complexity.

Elliot Catt, Michael Norrish

Proceedings of the CPP '21: 10th ACM SIGPLAN International Conference on Certified Programs and Proofs, 2021

2020

A Gentle Introduction to Quantum Computing Algorithms with Applications to Universal Prediction.

Elliot Catt, Marcus Hutter

CoRR, 2020

2019

Strong Asymptotic Optimality in General Environments.

Michael K. Cohen, Elliot Catt, Marcus Hutter

CoRR, 2019

A Strongly Asymptotically Optimal Agent in General Environments.

Michael K. Cohen, Elliot Catt, Marcus Hutter

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017

A Game-Theoretic Analysis of the Off-Switch Game.

Tobias Wängberg, Mikael Böörs, Elliot Catt, Tom Everitt, Marcus Hutter

Proceedings of the Artificial General Intelligence - 10th International Conference, 2017

2016

Strong Normality and Generalized Copeland--Erdős Numbers.

Elliot Catt, Michael Coons, Jordan Velich

Integers, 2016