| Tree based discretization for continuous state space reinforcement learning WTB Uther, MM Veloso Proceedings of the National Conference on Artificial Intelligence, 769-775, 1998 | 209 | 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 | 175 | 2011 |
| Adversarial reinforcement learning W Uther, M Veloso Tech. rep., Carnegie Mellon University. Unpublished, 1997 | 116 | 1997 |
| Automatic gait optimisation for quadruped robots MS Kim, W Uther Australasian Conference on Robotics and Automation, 1-3, 2003 | 91 | 2003 |
| Bootstrapping from game tree search J Veness, D Silver, A Blair, W Uther Advances in neural information processing systems 22, 1937-1945, 2009 | 81 | 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 | 78 | 1998 |
| Cm-pack’01: Fast legged robot walking, robust localization, and team behaviors W Uther, S Lenser, J Bruce, M Hock, M Veloso Robot Soccer World Cup, 693-696, 2001 | 39 | 2001 |
| A compositional framework for grounding language inference, generation, and acquisition in video H Yu, N Siddharth, A Barbu, JM Siskind Journal of Artificial Intelligence Research 52, 601-713, 2015 | 36 | 2015 |
| Plan-based policies for efficient multiple battery load management M Fox, D Long, D Magazzeni Journal of Artificial Intelligence Research 44, 335-382, 2012 | 35 | 2012 |
| The CMTrio-98 Sony legged robot team M Veloso, W Uther Robot Soccer World Cup, 491-497, 1998 | 32 | 1998 |
| Tree-based hierarchical reinforcement learning WT Uther CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2002 | 31 | 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 (4), 551-566, 2009 | 29 | 2009 |
| 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 | 25 | 2000 |
| Probabilities on sentences in an expressive logic M Hutter, JW Lloyd, KS Ng, WTB Uther Journal of Applied Logic 11 (4), 386-420, 2013 | 22 | 2013 |
| Probabilistic modelling, inference and learning using logical theories KS Ng, JW Lloyd, WTB Uther Annals of Mathematics and Artificial Intelligence 54 (1-3), 159-205, 2008 | 21 | 2008 |
| TTree: Tree-based state generalization with temporally abstract actions WTB Uther, MM Veloso Adaptive agents and multi-agent systems, 260-290, 2002 | 21 | 2002 |
| 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 |
| Kalman filter process models for urban vehicle tracking C Aydos, B Hengst, W Uther 2009 12th International IEEE Conference on Intelligent Transportation …, 2009 | 17 | 2009 |
| The lumberjack algorithm for learning linked decision forests WTB Uther, MM Veloso International Symposium on Abstraction, Reformulation, and Approximation …, 2000 | 16 | 2000 |
Marcus HutterResearcher@DeepMind & Professor at ANUПодтвержден адрес электронной почты в домене anu.edu.au
