| Artificial intelligence: a modern approach SJ Russell, P Norvig Prentice hall, 2010 | 56522 | 2010 |
| Distance metric learning with application to clustering with side-information E Xing, M Jordan, SJ Russell, A Ng Advances in neural information processing systems 15, 2002 | 3875 | 2002 |
| Algorithms for inverse reinforcement learning. AY Ng, S Russell Icml 1, 2, 2000 | 3374 | 2000 |
| Inteligência artificial SJ Russell, P Norvig Elsevier, 2004 | 2612* | 2004 |
| Policy invariance under reward transformations: Theory and application to reward shaping AY Ng, D Harada, S Russell Icml 99, 278-287, 1999 | 2379 | 1999 |
| Rao-Blackwellised particle filtering for dynamic Bayesian networks A Doucet, N De Freitas, K Murphy, S Russell arXiv preprint arXiv:1301.3853, 2013 | 1691 | 2013 |
| Image segmentation in video sequences: A probabilistic approach N Friedman, S Russell arXiv preprint arXiv:1302.1539, 2013 | 1496 | 2013 |
| Online bagging and boosting NC Oza, SJ Russell International Workshop on Artificial Intelligence and Statistics, 229-236, 2001 | 1183 | 2001 |
| Artificial Intelligence: A Modern Approach, eBook, Global Edition S Russell Pearson Education, Limited, 2016 | 1146 | 2016 |
| Reinforcement learning with hierarchies of machines R Parr, S Russell Advances in neural information processing systems 10, 1997 | 996 | 1997 |
| Human compatible: Artificial intelligence and the problem of control S Russell Penguin, 2019 | 885 | 2019 |
| Learning the structure of dynamic probabilistic networks N Friedman, K Murphy, S Russell arXiv preprint arXiv:1301.7374, 2013 | 875 | 2013 |
| Towards robust automatic traffic scene analysis in real-time D Koller, J Weber, T Huang, J Malik, G Ogasawara, B Rao, S Russell Proceedings of 12th International Conference on Pattern Recognition 1, 126-131, 1994 | 753 | 1994 |
| Research priorities for robust and beneficial artificial intelligence S Russell, D Dewey, M Tegmark Ai Magazine 36 (4), 105-114, 2015 | 737 | 2015 |
| Bayesian networks J Pearl | 719 | 2011 |
| 1 blog: Probabilistic models with unknown objects B Milch, B Marthi, S Russell, D Sontag, DL Ong, A Kolobov Statistical relational learning, 373, 2007 | 601 | 2007 |
| Bayesian Q-learning R Dearden, N Friedman, S Russell Aaai/iaai 1998, 761-768, 1998 | 598 | 1998 |
| Adaptive probabilistic networks with hidden variables J Binder, D Koller, S Russell, K Kanazawa Machine Learning 29, 213-244, 1997 | 588 | 1997 |
| Learning agents for uncertain environments S Russell Proceedings of the eleventh annual conference on Computational learning …, 1998 | 581 | 1998 |
| Cooperative inverse reinforcement learning D Hadfield-Menell, SJ Russell, P Abbeel, A Dragan Advances in neural information processing systems 29, 2016 | 578 | 2016 |
