| AI safety gridworlds J Leike, M Martic, V Krakovna, PA Ortega, T Everitt, A Lefrancq, L Orseau, ... arXiv preprint arXiv:1711.09883, 2017 | 297 | 2017 |
| Safely Interruptible Agents L Orseau, S Armstrong Uncertainty in Artificial Intelligence, 557–566, 2016 | 143 | 2016 |
| Reinforcement learning with a corrupted reward channel T Everitt, V Krakovna, L Orseau, M Hutter, S Legg arXiv preprint arXiv:1705.08417, 2017 | 107 | 2017 |
| Delusion, survival, and intelligent agents M Ring, L Orseau Artificial General Intelligence: 4th International Conference, AGI 2011 …, 2011 | 87 | 2011 |
| 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 | 83 | 2019 |
| Logarithmic pruning is all you need L Orseau, M Hutter, O Rivasplata Advances in Neural Information Processing Systems 33, 2925-2934, 2020 | 73 | 2020 |
| Penalizing side effects using stepwise relative reachability V Krakovna, L Orseau, R Kumar, M Martic, S Legg arXiv preprint arXiv:1806.01186, 2018 | 52 | 2018 |
| Universal knowledge-seeking agents for stochastic environments L Orseau, T Lattimore, M Hutter Algorithmic Learning Theory: 24th International Conference, ALT 2013 …, 2013 | 48 | 2013 |
| Space-Time Embedded Intelligence L Orseau, M Ring Artificial General Intelligence, 209-218, 2012 | 48 | 2012 |
| 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 | 42 | 2022 |
| Self-modification and mortality in artificial agents L Orseau, M Ring Artificial General Intelligence: 4th International Conference, AGI 2011 …, 2011 | 42 | 2011 |
| Thompson sampling is asymptotically optimal in general environments J Leike, T Lattimore, L Orseau, M Hutter arXiv preprint arXiv:1602.07905, 2016 | 41 | 2016 |
| 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 | 36 | 2020 |
| Artificial general intelligence B Goertzel, L Orseau, J Snaider Springer International Publishing, 2014 | 34 | 2014 |
| Single-agent policy tree search with guarantees L Orseau, L Lelis, T Lattimore, T Weber Advances in Neural Information Processing Systems 31, 2018 | 30 | 2018 |
| Universal knowledge-seeking agents L Orseau Theoretical Computer Science 519, 127-139, 2014 | 26 | 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 | 25 | 2017 |
| Optimality issues of universal greedy agents with static priors L Orseau Algorithmic Learning Theory: 21st International Conference, ALT 2010 …, 2010 | 23 | 2010 |
| Learning to prove from synthetic theorems E Aygün, Z Ahmed, A Anand, V Firoiu, X Glorot, L Orseau, D Precup, ... arXiv preprint arXiv:2006.11259, 2020 | 21 | 2020 |
| Pitfalls of learning a reward function online S Armstrong, J Leike, L Orseau, S Legg arXiv preprint arXiv:2004.13654, 2020 | 21 | 2020 |
Marcus HutterResearcher@DeepMind & Professor at ANUVerified email at anu.edu.au
