| AI safety gridworlds J Leike, M Martic, V Krakovna, PA Ortega, T Everitt, A Lefrancq, L Orseau, ... arXiv preprint arXiv:1711.09883, 2017 | 350 | 2017 |
| Safely Interruptible Agents L Orseau, S Armstrong Uncertainty in Artificial Intelligence, 557–566, 2016 | 167 | 2016 |
| Reinforcement learning with a corrupted reward channel T Everitt, V Krakovna, L Orseau, M Hutter, S Legg arXiv preprint arXiv:1705.08417, 2017 | 134 | 2017 |
| Language modeling is compression G Delétang, A Ruoss, PA Duquenne, E Catt, T Genewein, C Mattern, ... arXiv preprint arXiv:2309.10668, 2023 | 117 | 2023 |
| Goal misgeneralization in deep reinforcement learning LL Di Langosco, J Koch, LD Sharkey, J Pfau, D Krueger International Conference on Machine Learning, 12004-12019, 2022 | 111 | 2022 |
| Logarithmic pruning is all you need L Orseau, M Hutter, O Rivasplata Advances in Neural Information Processing Systems 33, 2925-2934, 2020 | 104 | 2020 |
| An investigation of model-free planning A Guez, M Mirza, K Gregor, R Kabra, S Racanière, T Weber, D Raposo, ... International Conference on Machine Learning, 2464-2473, 2019 | 99 | 2019 |
| Delusion, survival, and intelligent agents M Ring, L Orseau Artificial General Intelligence: 4th International Conference, AGI 2011 …, 2011 | 97 | 2011 |
| Penalizing side effects using stepwise relative reachability V Krakovna, L Orseau, R Kumar, M Martic, S Legg arXiv preprint arXiv:1806.01186, 2018 | 62 | 2018 |
| Space-Time Embedded Intelligence L Orseau, M Ring Artificial General Intelligence, 209-218, 2012 | 54 | 2012 |
| Universal knowledge-seeking agents for stochastic environments L Orseau, T Lattimore, M Hutter Algorithmic Learning Theory: 24th International Conference, ALT 2013 …, 2013 | 52 | 2013 |
| Avoiding side effects by considering future tasks V Krakovna, L Orseau, R Ngo, M Martic, S Legg Advances in Neural Information Processing Systems 33, 19064-19074, 2020 | 48 | 2020 |
| Thompson sampling is asymptotically optimal in general environments J Leike, T Lattimore, L Orseau, M Hutter arXiv preprint arXiv:1602.07905, 2016 | 45 | 2016 |
| Self-modification and mortality in artificial agents L Orseau, M Ring Artificial General Intelligence: 4th International Conference, AGI 2011 …, 2011 | 45 | 2011 |
| Single-agent policy tree search with guarantees L Orseau, L Lelis, T Lattimore, T Weber Advances in Neural Information Processing Systems 31, 2018 | 41 | 2018 |
| Universal knowledge-seeking agents L Orseau Theoretical Computer Science 519, 127-139, 2014 | 30 | 2014 |
| Soft-bayes: Prod for mixtures of experts with log-loss L Orseau, T Lattimore, S Legg International Conference on Algorithmic Learning Theory, 372-399, 2017 | 29 | 2017 |
| Optimality issues of universal greedy agents with static priors L Orseau Algorithmic Learning Theory: 21st International Conference, ALT 2010 …, 2010 | 27 | 2010 |
| Policy-guided heuristic search with guarantees L Orseau, LHS Lelis Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12382 …, 2021 | 26 | 2021 |
| Pitfalls of learning a reward function online S Armstrong, J Leike, L Orseau, S Legg arXiv preprint arXiv:2004.13654, 2020 | 26 | 2020 |
Marcus HutterResearcher@DeepMind & Professor at ANUGeverifieerd e-mailadres voor anu.edu.au
