| Universal artificial intelligence: Sequential decisions based on algorithmic probability M Hutter Springer, 2005 | 1339 | 2005 |
| A collection of definitions of intelligence S Legg, M Hutter Frontiers in Artificial Intelligence and applications 157, 17, 2007 | 1333 | 2007 |
| Universal intelligence: A definition of machine intelligence S Legg, M Hutter Minds and machines 17 (4), 391-444, 2007 | 1258 | 2007 |
| A new local distance-based outlier detection approach for scattered real-world data K Zhang, M Hutter, H Jin Pacific-asia conference on knowledge discovery and data mining, 813-822, 2009 | 589 | 2009 |
| Language modeling is compression G Delétang, A Ruoss, PA Duquenne, E Catt, T Genewein, C Mattern, ... arXiv preprint arXiv:2309.10668, 2023 | 289 | 2023 |
| A monte-carlo aixi approximation J Veness, KS Ng, M Hutter, W Uther, D Silver Journal of Artificial Intelligence Research 40, 95-142, 2011 | 240 | 2011 |
| Neural networks and the chomsky hierarchy G Delétang, A Ruoss, J Grau-Moya, T Genewein, LK Wenliang, E Catt, ... arXiv preprint arXiv:2207.02098, 2022 | 237 | 2022 |
| AGI safety literature review T Everitt, G Lea, M Hutter arXiv preprint arXiv:1805.01109, 2018 | 194 | 2018 |
| Reinforcement learning with a corrupted reward channel T Everitt, V Krakovna, L Orseau, M Hutter, S Legg arXiv preprint arXiv:1705.08417, 2017 | 171 | 2017 |
| PAC bounds for discounted MDPs T Lattimore, M Hutter International Conference on Algorithmic Learning Theory, 320-334, 2012 | 170 | 2012 |
| A philosophical treatise of universal induction S Rathmanner, M Hutter Entropy 13 (6), 1076-1136, 2011 | 163 | 2011 |
| Count-based exploration in feature space for reinforcement learning J Martin, SN Sasikumar, T Everitt, M Hutter arXiv preprint arXiv:1706.08090, 2017 | 162 | 2017 |
| Reward tampering problems and solutions in reinforcement learning: A causal influence diagram perspective T Everitt, M Hutter, R Kumar, V Krakovna Synthese 198 (Suppl 27), 6435-6467, 2021 | 161 | 2021 |
| Formal algorithms for transformers M Phuong, M Hutter arXiv preprint arXiv:2207.09238, 2022 | 154 | 2022 |
| Discriminative hierarchical rank pooling for activity recognition B Fernando, P Anderson, M Hutter, S Gould Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 152 | 2016 |
| Robust feature selection by mutual information distributions M Zaffalon, M Hutter arXiv preprint cs/0206006, 2002 | 150 | 2002 |
| On universal prediction and Bayesian confirmation M Hutter Theoretical Computer Science 384 (1), 33-48, 2007 | 143 | 2007 |
| Universal algorithmic intelligence: A mathematical top→ down approach M Hutter Artificial general intelligence, 227-290, 2007 | 139 | 2007 |
| Fitness uniform selection to preserve genetic diversity M Hutter Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 131 | 2002 |
| Logarithmic pruning is all you need L Orseau, M Hutter, O Rivasplata Advances in Neural Information Processing Systems 33, 2925-2934, 2020 | 127 | 2020 |
Joel VenessUniversal Artificial IntelligenceVerified email at godemperor.ai
