Tree based discretization for continuous state space reinforcement learning WTB Uther, MM Veloso Proceedings of the National Conference on Artificial Intelligence, 769-775, 1998 | 208 | 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 | 171 | 2011 |
Adversarial reinforcement learning W Uther, M Veloso Tech. rep., Carnegie Mellon University. Unpublished, 1997 | 120 | 1997 |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, WTB Uther, A Blair NIPS 19, 1937-1945, 2009 | 79 | 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 | 38 | 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 | 36 | 2012 |
The CMTrio-98 Sony legged robot team M Veloso, W Uther Robot Soccer World Cup, 491-497, 1998 | 33 | 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 Gr©ªtli, 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), 159-205, 2008 | 22 | 2008 |
TTree: Tree-based state generalization with temporally abstract actions WTB Uther, MM Veloso Adaptive agents and multi-agent systems, 260-290, 2002 | 20 | 2002 |
Generalizing adversarial reinforcement learning WTB Uther, MM Veloso Proceedings of the AAAI Fall Symposium on Model Directed Autonomous Systems 206, 1997 | 19 | 1997 |
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 |
Approximate dynamic programming with affine ADDs. S Sanner, WTB Uther, KV Delgado AAMAS, 1349-1356, 2010 | 17 | 2010 |