| Tree based discretization for continuous state space reinforcement learning WTB Uther, MM Veloso Proceedings of the National Conference on Artificial Intelligence, 769-775, 1998 | 236 | 1998 |
| A monte-carlo aixi approximation J Veness, KS Ng, M Hutter, W Uther, D Silver Journal of Artificial Intelligence Research 40, 95-142, 2011 | 208 | 2011 |
| Adversarial reinforcement learning W Uther, M Veloso Tech. rep., Carnegie Mellon University. Unpublished, 1997 | 140 | 1997 |
| Automatic gait optimisation for quadruped robots MS Kim, W Uther Australasian Conference on Robotics and Automation, 1-3, 2003 | 100 | 2003 |
| Bootstrapping from game tree search J Veness, D Silver, A Blair, W Uther Advances in neural information processing systems 22, 2009 | 91 | 2009 |
| Playing soccer with legged robots M Veloso, W Uther, M Fijita, M Asada, H Kitano Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots …, 1998 | 85 | 1998 |
| Cm-pack’01: Fast legged robot walking, robust localization, and team behaviors W Uther, S Lenser, J Bruce, M Hock, M Veloso RoboCup 2001: Robot Soccer World Cup V 5, 693-696, 2002 | 40 | 2002 |
| The CMTrio-98 Sony legged robot team M Veloso, W Uther Lecture notes in computer science, 491-497, 1999 | 34 | 1999 |
| Tree based hierarchical reinforcement learning WTB Uther Carnegie Mellon University, 2002 | 33 | 2002 |
| Model-based design: a report from the trenches of the DARPA Urban Challenge J Sprinkle, JM Eklund, H Gonzalez, EI Grøtli, B Upcroft, A Makarenko, ... Software & Systems Modeling 8, 551-566, 2009 | 30 | 2009 |
| Probabilities on sentences in an expressive logic M Hutter, JW Lloyd, KS Ng, WTB Uther Journal of Applied Logic 11 (4), 386-420, 2013 | 27 | 2013 |
| Vision, Strategy, and Localization Using the Sony Robots at RoboCup-98 M Fujita, MM Veloso, W Uther, M Asada, H Kitano, V Hugel, P Bonnin, ... AI magazine 21 (1), 47-47, 2000 | 26 | 2000 |
| Mean squared error J Fürnkranz, PK Chan, S Craw, C Sammut, W Uther, A Ratnaparkhi, X Jin, ... Encyclopedia of machine learning, 2010 | 25 | 2010 |
| Probabilistic modelling, inference and learning using logical theories KS Ng, JW Lloyd, WTB Uther Annals of Mathematics and Artificial Intelligence 54, 159-205, 2008 | 23 | 2008 |
| Mean absolute error J Fürnkranz, PK Chan, S Craw, C Sammut, W Uther, A Ratnaparkhi, X Jin, ... Encyclopedia of Machine Learning, 652-652, 2011 | 21 | 2011 |
| The lumberjack algorithm for learning linked decision forests WTB Uther, MM Veloso PRICAI 2000 Topics in Artificial Intelligence: 6th Pacific Rim International …, 2000 | 19 | 2000 |
| Generalizing adversarial reinforcement learning WTB Uther, MM Veloso Proceedings of the AAAI Fall Symposium on Model Directed Autonomous Systems 206, 1997 | 19 | 1997 |
| Approximate dynamic programming with affine ADDs. S Sanner, WTB Uther, KV Delgado AAMAS, 1349-1356, 2010 | 18 | 2010 |
| Kalman filter process models for urban vehicle tracking C Aydos, B Hengst, W Uther 2009 12th International IEEE Conference on Intelligent Transportation …, 2009 | 18 | 2009 |
| Rise of the AIBOs III-AIBO revolutions J Chen, E Chung, R Edwards, N Wong, B Hengst, C Sammut, W Uther Bachelor Thesis, The University of New South Wales and National ICT Australia, 2003 | 18 | 2003 |
Marcus HutterResearcher@DeepMind & Professor at ANUVerified email at anu.edu.au
