Artificial intelligence: a modern approach SJ Russell, P Norvig Prentice hall, 2010 | 62382* | 2010 |
Algorithms for inverse reinforcement learning. AY Ng, S Russell Icml 1 (2), 2, 2000 | 4038 | 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 | 4007 | 2002 |
Policy invariance under reward transformations: Theory and application to reward shaping AY Ng, D Harada, S Russell Icml 99, 278-287, 1999 | 2918 | 1999 |
Inteligência artificial SJ Russell, P Norvig Elsevier, 2004 | 2905* | 2004 |
Rao-Blackwellised particle filtering for dynamic Bayesian networks K Murphy, S Russell Sequential Monte Carlo methods in practice, 499-515, 2001 | 2041 | 2001 |
Image segmentation in video sequences: A probabilistic approach N Friedman, S Russell arXiv preprint arXiv:1302.1539, 2013 | 1527 | 2013 |
Human compatible: AI and the problem of control S Russell Penguin Uk, 2019 | 1441 | 2019 |
Online bagging and boosting NC Oza, SJ Russell International workshop on artificial intelligence and statistics, 229-236, 2001 | 1270 | 2001 |
Artificial intelligence: a modern approach. Malaysia SJ Russell, P Norvig Pearson Education Limited, 2016 | 1234 | 2016 |
Reinforcement learning with hierarchies of machines R Parr, S Russell Advances in neural information processing systems 10, 1997 | 1096 | 1997 |
Learning the structure of dynamic probabilistic networks N Friedman, K Murphy, S Russell arXiv preprint arXiv:1301.7374, 2013 | 906 | 2013 |
Research priorities for robust and beneficial artificial intelligence S Russell, D Dewey, M Tegmark AI magazine 36 (4), 105-114, 2015 | 896 | 2015 |
From Bayesian networks to causal networks J Pearl Mathematical models for handling partial knowledge in artificial …, 1995 | 890 | 1995 |
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 | 757 | 1994 |
Cooperative inverse reinforcement learning D Hadfield-Menell, SJ Russell, P Abbeel, A Dragan Advances in neural information processing systems 29, 2016 | 750 | 2016 |
Learning agents for uncertain environments S Russell Proceedings of the eleventh annual conference on Computational learning …, 1998 | 677 | 1998 |
Bayesian Q-learning R Dearden, N Friedman, S Russell Aaai/iaai 1998, 761-768, 1998 | 655 | 1998 |
BLOG: Probabilistic models with unknown objects B Milch, B Marthi, S Russell, D Sontag, DL Ong, A Kolobov | 615 | 2007 |
Adaptive probabilistic networks with hidden variables J Binder, D Koller, S Russell, K Kanazawa Machine Learning 29, 213-244, 1997 | 607 | 1997 |