| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 2155 | 2023 |
| Language modeling is compression G Delétang, A Ruoss, PA Duquenne, E Catt, T Genewein, C Mattern, ... arXiv preprint arXiv:2309.10668, 2023 | 116 | 2023 |
| An agile new research framework for hybrid human-AI teaming: Trust, transparency, and transferability S Caldwell, P Sweetser, N O’donnell, MJ Knight, M Aitchison, T Gedeon, ... ACM Transactions on Interactive Intelligent Systems (TiiS) 12 (3), 1-36, 2022 | 43 | 2022 |
| Evaluating frontier models for dangerous capabilities M Phuong, M Aitchison, E Catt, S Cogan, A Kaskasoli, V Krakovna, ... arXiv preprint arXiv:2403.13793, 2024 | 36 | 2024 |
| Atari-5: Distilling the arcade learning environment down to five games M Aitchison, P Sweetser, M Hutter International Conference on Machine Learning, 421-438, 2023 | 15 | 2023 |
| Learning to deceive in multi-agent hidden role games M Aitchison, L Benke, P Sweetser Deceptive AI: First International Workshop, DeceptECAI 2020, Santiago de …, 2021 | 11 | 2021 |
| Learning Universal Predictors J Grau-Moya, T Genewein, M Hutter, L Orseau, G Delétang, E Catt, ... arXiv preprint arXiv:2401.14953, 2024 | 8 | 2024 |
| Do Game Bots Dream of Electric Rewards? The Universality of Intrinsic Motivation P Sweetser, M Aitchison Proceedings of the 15th International Conference on the Foundations of …, 2020 | 6 | 2020 |
| DNA: Proximal policy optimization with a dual network architecture M Aitchison, P Sweetser Advances in Neural Information Processing Systems 35, 35921-35932, 2022 | 5 | 2022 |
| Distributional Bellman Operators over Mean Embeddings LK Wenliang, G Déletang, M Aitchison, M Hutter, A Ruoss, A Gretton, ... arXiv preprint arXiv:2312.07358, 2023 | 4 | 2023 |
| Curriculum generation and sequencing for deep reinforcement learning in starcraft ii D Hao, P Sweetser, M Aitchison Proceedings of the 2022 Australasian Computer Science Week, 1-11, 2022 | 4 | 2022 |
| Improving StarCraft II Player League Prediction with Macro-Level Features Y Chen, M Aitchison, P Sweetser AI 2020: Advances in Artificial Intelligence: 33rd Australasian Joint …, 2020 | 4 | 2020 |
| Self-predictive universal AI E Catt, J Grau-Moya, M Hutter, M Aitchison, T Genewein, G Deletang, K Li, ... Advances in Neural Information Processing Systems 36, 27181-27198, 2023 | 3 | 2023 |
| Designing curriculum for deep reinforcement learning in StarCraft II D Hao, P Sweetser, M Aitchison AI 2020: Advances in Artificial Intelligence: 33rd Australasian Joint …, 2020 | 2 | 2020 |
| Optimal use of experience in first person shooter environments M Aitchison 2019 IEEE Conference on Games (CoG), 1-4, 2019 | 2 | 2019 |
| HiveMind: Learning to Play the Cooperative Chess Variant Bughouse with DNNs and MCTS B Woo, P Sweetser, M Aitchison 2023 IEEE Conference on Games (CoG), 1-8, 2023 | 1 | 2023 |
| Novelty Detection in Thermal Video M Aitchison, R Green 2018 International Conference on Image and Vision Computing New Zealand …, 2018 | 1 | 2018 |
| Designing Curriculum for Deep Reinforcement Learning in StarCraft II M Aitchison, P Sweetser Kyburz, D Hao Springer Nature Switzerland AG, 2020 | | 2020 |
| Neural Networks and Solomonoff Induction J Grau-Moya, T Genewein, M Hutter, L Orseau, G Deletang, E Catt, ... | | |
| Policy Gradient without Boostrapping via Truncated Value Learning M Aitchison, P Sweetser, G Deletang, M Hutter | | |
Penny Sweetser KyburzProfessor, Australian National UniversityVerified email at anu.edu.au
