Matthew Aitchison

According to our database, Matthew Aitchison authored at least 16 papers between 2018 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

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

Distributional Bellman Operators over Mean Embeddings.

Li Kevin Wenliang, Grégoire Delétang, Matthew Aitchison, Marcus Hutter, Anian Ruoss, Arthur Gretton, Mark Rowland

CoRR, 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

Atari-5: Distilling the Arcade Learning Environment down to Five Games.

Matthew Aitchison, Penny Sweetser, Marcus Hutter

Proceedings of the International Conference on Machine Learning, 2023

HiveMind: Learning to Play the Cooperative Chess Variant Bughouse with DNNs and MCTS.

Benjamin Woo, Penny Sweetser, Matthew Aitchison

Proceedings of the IEEE Conference on Games, 2023

2022

An Agile New Research Framework for Hybrid Human-AI Teaming: Trust, Transparency, and Transferability.

Sabrina B. Caldwell, Penny Sweetser, Nicholas O'Donnell, Matthew James Knight, Matthew Aitchison, Tom Gedeon, Daniel Johnson, Margot Brereton, Marcus Gallagher, David Conroy

ACM Trans. Interact. Intell. Syst., 2022

Learning to Deceive in Multi-Agent Hidden Role Games.

Matthew Aitchison, Lyndon Benke, Penny Sweetser

CoRR, 2022

DNA: Proximal Policy Optimization with a Dual Network Architecture.

Matthew Aitchison, Penny Sweetser

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Curriculum Generation and Sequencing for Deep Reinforcement Learning in StarCraft II.

Daniel Hao, Penny Sweetser, Matthew Aitchison

Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022

2020

Do Game Bots Dream of Electric Rewards?: The universality of intrinsic motivation.

Penny Sweetser, Matthew Aitchison

Proceedings of the FDG '20: International Conference on the Foundations of Digital Games, 2020

Designing Curriculum for Deep Reinforcement Learning in StarCraft II.

Daniel Hao, Penny Sweetser, Matthew Aitchison

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

Improving StarCraft II Player League Prediction with Macro-Level Features.

Yinheng Chen, Matthew Aitchison, Penny Sweetser

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019

Optimal Use of Experience in First Person Shooter Environments.

Matthew Aitchison

Proceedings of the IEEE Conference on Games, 2019

2018

Novelty Detection in Thermal Video.

Matthew Aitchison, Richard Green

Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018