Tree based discretization for continuous state space reinforcement learning WTB Uther, MM Veloso Proceedings of the National Conference on Artificial Intelligence, 769-775, 1998 | 253 | 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 | 230 | 2011 |
Adversarial reinforcement learning W Uther, M Veloso Tech. rep., Carnegie Mellon University. Unpublished, 1997 | 155 | 1997 |
Automatic gait optimisation for quadruped robots MS Kim, W Uther Australasian Conference on Robotics and Automation, 1-3, 2003 | 99 | 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 | 87 | 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 |
Mean squared error J Fürnkranz, PK Chan, S Craw, C Sammut, W Uther, A Ratnaparkhi, X Jin, ... Encyclopedia of machine learning, 653-653, 2011 | 38 | 2011 |
The CMTrio-98 Sony legged robot team M Veloso, W Uther RoboCup-98: Robot Soccer World Cup II 2, 491-497, 1999 | 34 | 1999 |
Mean absolute error J Fürnkranz, PK Chan, S Craw, C Sammut, W Uther, A Ratnaparkhi, X Jin, ... Encyclopedia of machine learning, 652-652, 2011 | 33 | 2011 |
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 | 31 | 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 |
Probabilistic modelling, inference and learning using logical theories KS Ng, JW Lloyd, WTB Uther Annals of Mathematics and Artificial Intelligence 54, 159-205, 2008 | 25 | 2008 |
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 | 24 | 2000 |
Kalman filter process models for urban vehicle tracking C Aydos, B Hengst, W Uther 2009 12th International IEEE Conference on Intelligent Transportation …, 2009 | 21 | 2009 |
The lumberjack algorithm for learning linked decision forests WTB Uther, MM Veloso International Symposium on Abstraction, Reformulation, and Approximation …, 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 |
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 |
Approximate dynamic programming with affine ADDs. S Sanner, WTB Uther, KV Delgado AAMAS, 1349-1356, 2010 | 17 | 2010 |