Matthew Aitchison

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Reinforcement Learning

Trec Collections

Top Venues

Australasian Conference on Artificial Intelligence

Publications

Jordi Grau-Moya, Tim Genewein, Marcus Hutter, Laurent Orseau, Grégoire Delétang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison, Joel Veness
Learning Universal Predictors. CoRR (2024)
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
Evaluating Frontier Models for Dangerous Capabilities. CoRR (2024)
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
Language Modeling Is Compression. ICLR (2024)
Elliot Catt, Jordi Grau-Moya, Marcus Hutter, Matthew Aitchison, Tim Genewein, Grégoire Delétang, Kevin Li, Joel Veness
Self-Predictive Universal AI. NeurIPS (2023)
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
Language Modeling Is Compression. CoRR (2023)
Benjamin Woo, Penny Sweetser, Matthew Aitchison
HiveMind: Learning to Play the Cooperative Chess Variant Bughouse with DNNs and MCTS. CoG (2023)
Li Kevin Wenliang, Grégoire Delétang, Matthew Aitchison, Marcus Hutter, Anian Ruoss, Arthur Gretton, Mark Rowland
Distributional Bellman Operators over Mean Embeddings. CoRR (2023)
Matthew Aitchison, Penny Sweetser, Marcus Hutter
Atari-5: Distilling the Arcade Learning Environment down to Five Games. ICML (2023)
Daniel Hao, Penny Sweetser, Matthew Aitchison
Curriculum Generation and Sequencing for Deep Reinforcement Learning in StarCraft II. ACSW (2022)
Matthew Aitchison, Penny Sweetser
DNA: Proximal Policy Optimization with a Dual Network Architecture. CoRR (2022)
Sabrina B. Caldwell, Penny Sweetser, Nicholas O'Donnell, Matthew James Knight, Matthew Aitchison, Tom Gedeon, Daniel Johnson, Margot Brereton, Marcus Gallagher, David Conroy
An Agile New Research Framework for Hybrid Human-AI Teaming: Trust, Transparency, and Transferability. ACM Trans. Interact. Intell. Syst. 12 (3) (2022)
Matthew Aitchison, Penny Sweetser
DNA: Proximal Policy Optimization with a Dual Network Architecture. NeurIPS (2022)
Matthew Aitchison, Lyndon Benke, Penny Sweetser
Learning to Deceive in Multi-Agent Hidden Role Games. CoRR (2022)
Matthew Aitchison, Penny Sweetser, Marcus Hutter
Atari-5: Distilling the Arcade Learning Environment down to Five Games. CoRR (2022)
Daniel Hao, Penny Sweetser, Matthew Aitchison
Designing Curriculum for Deep Reinforcement Learning in StarCraft II. Australasian Conference on Artificial Intelligence (2020)
Penny Sweetser, Matthew Aitchison
Do Game Bots Dream of Electric Rewards?: The universality of intrinsic motivation. FDG (2020)
Yinheng Chen, Matthew Aitchison, Penny Sweetser
Improving StarCraft II Player League Prediction with Macro-Level Features. Australasian Conference on Artificial Intelligence (2020)
Matthew Aitchison
Optimal Use of Experience in First Person Shooter Environments. CoRR (2019)
Matthew Aitchison
Optimal Use of Experience in First Person Shooter Environments. CoG (2019)
Matthew Aitchison, Richard Green
Novelty Detection in Thermal Video. IVCNZ (2018)