| Player modeling for intelligent difficulty adjustment O Missura, T Gärtner Discovery Science: 12th International Conference, DS 2009, Porto, Portugal …, 2009 | 151 | 2009 |
| Predicting dynamic difficulty O Missura, T Gärtner Advances in neural information processing systems 24, 2011 | 41 | 2011 |
| Dynamic difficulty adjustment O Missura Universitäts-und Landesbibliothek Bonn, 2015 | 24 | 2015 |
| Effective parallelisation for machine learning M Kamp, M Boley, O Missura, T Gärtner Advances in Neural Information Processing Systems 30, 2017 | 18 | 2017 |
| Graph Grammars for Super Mario Bros Levels S Londoño, O Missura International Conference on the Foundations of Digital Games, 2015 | 18 | 2015 |
| Automatic discretization of actions and states in Monte-Carlo tree search G Van den Broeck, K Driessens Proceedings of the ECML workshop on Machine Learning and Data Mining in Games, 2011 | 17 | 2011 |
| Dynamic difficulty for checkers and Chinese chess L Ilici, J Wang, O Missura, T Gärtner IEEE Conference on Computational Intelligence and Games (CIG), 55-62, 2012 | 14 | 2012 |
| Online adaptive agent for connect four O Missura, T Gaertner Proceedings of the 4th international conference on games research and …, 2008 | 11 | 2008 |
| Offline Learning for Online Difficulty Prediction M Mladenov, O Missura MLG 2010: the International Workshop on Machine Learning and Games, 2010 | 6 | 2010 |
| Racing tracks improvisation JJ Wang, O Missura IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2014 | 4 | 2014 |
| Context-Based clustering of image search results H Wang, O Missura, T Gärtner, S Wrobel KI 2009: Advances in Artificial Intelligence: 32nd Annual German Conference …, 2009 | 4 | 2009 |
| Adaptive Agents in the Context of Connect Four. O Missura, T Gärtner LWA 2007: Lernen - Wissen - Adaption, 165-166, 2007 | 3 | 2007 |
| Online Optimisation in Convexity Spaces T Gärtner, O Missura NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning, 2014 | 2 | 2014 |
| Games with Dynamic Difficulty Adjustment through the Use of POMDP R Goetschalckx, O Missura, J Hoey, T Gaertner MLG 2010: the International Workshop on Machine Learning and Games, 2010 | | 2010 |
| Classification on Graphs for Dynamic Difficulty Adjustment: More Questions Than Answers O Missura, T Gärtner 7th International Workshop on Mining and Learning with Graphs, 2009 | | 2009 |
| Player Modeling for Intelligent Difficulty Adjustment (Resubmission) O Missura, T Gärtner KDML 2009, 76, 2009 | | 2009 |
| Towards Engaging Games. O Missura, K Kersting, T Gärtner LWA 2008 - Workshop-Woche: Lernen, Wissen & Adaptivität 448, 77-83, 2008 | | 2008 |
| Towards Engaging MDPs O Missura, K Kersting, T Gärtner Workshop on Artificial Intelligence in Games, 55, 2008 | | 2008 |
| and Gärtner, Thomas (2017) Radon machines: effective parallelisation for machine learning. Advances in Neural Information Processing Systems, 30. ISSN 1049-5258 M Kamp, M Boley, O Missura | | |
Thomas GärtnerTU Wien (Technical University of Vienna)Verified email at tuwien.ac.at
