| Artificial intelligence: a modern approach SJ Russell, P Norvig Prentice hall, 2010 | 67520* | 2010 |
| Algorithms for inverse reinforcement learning. AY Ng, S Russell Icml 1 (2), 2, 2000 | 4442 | 2000 |
| 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 | 4106 | 2002 |
| Policy invariance under reward transformations: Theory and application to reward shaping AY Ng, D Harada, S Russell Icml 99, 278-287, 1999 | 3268 | 1999 |
| Inteligência artificial SJ Russell, P Norvig Elsevier, 2004 | 3146* | 2004 |
| Rao-Blackwellised particle filtering for dynamic Bayesian networks K Murphy, S Russell Sequential Monte Carlo methods in practice, 499-515, 2001 | 2098 | 2001 |
| Human compatible: AI and the problem of control S Russell Penguin Uk, 2019 | 1908 | 2019 |
| Image segmentation in video sequences: A probabilistic approach N Friedman, S Russell arXiv preprint arXiv:1302.1539, 2013 | 1536 | 2013 |
| Artificial intelligence: a modern approach. Malaysia SJ Russell, P Norvig Pearson Education Limited, 2016 | 1330 | 2016 |
| Online bagging and boosting NC Oza, SJ Russell International workshop on artificial intelligence and statistics, 229-236, 2001 | 1313 | 2001 |
| Reinforcement learning with hierarchies of machines R Parr, S Russell Advances in neural information processing systems 10, 1997 | 1143 | 1997 |
| Research priorities for robust and beneficial artificial intelligence S Russell, D Dewey, M Tegmark AI magazine 36 (4), 105-114, 2015 | 1009 | 2015 |
| From Bayesian networks to causal networks J Pearl Mathematical models for handling partial knowledge in artificial …, 1995 | 960 | 1995 |
| Learning the structure of dynamic probabilistic networks N Friedman, K Murphy, S Russell arXiv preprint arXiv:1301.7374, 2013 | 918 | 2013 |
| A modern approach S Russell, P Norvig, A Intelligence Artificial Intelligence. Prentice-Hall, Egnlewood Cliffs 25 (27), 79-80, 1995 | 907 | 1995 |
| Cooperative inverse reinforcement learning D Hadfield-Menell, SJ Russell, P Abbeel, A Dragan Advances in neural information processing systems 29, 2016 | 854 | 2016 |
| Learning agents for uncertain environments S Russell Proceedings of the eleventh annual conference on Computational learning …, 1998 | 765 | 1998 |
| 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 | 758 | 1994 |
| Bayesian Q-learning R Dearden, N Friedman, S Russell Aaai/iaai 1998, 761-768, 1998 | 678 | 1998 |
| Combined task and motion planning through an extensible planner-independent interface layer S Srivastava, E Fang, L Riano, R Chitnis, S Russell, P Abbeel 2014 IEEE international conference on robotics and automation (ICRA), 639-646, 2014 | 648 | 2014 |
