| Forward model approximation for general video game learning A Dockhorn, D Apeldoorn 2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018 | 17 | 2018 |
| Predicting opponent moves for improving hearthstone ai A Dockhorn, M Frick, Ü Akkaya, R Kruse International Conference on Information Processing and Management of …, 2018 | 17 | 2018 |
| Introducing the hearthstone-ai competition A Dockhorn, S Mostaghim arXiv preprint arXiv:1906.04238, 2019 | 16* | 2019 |
| An alternating optimization approach based on hierarchical adaptations of dbscan A Dockhorn, C Braune, R Kruse 2015 IEEE Symposium Series on Computational Intelligence, 749-755, 2015 | 12 | 2015 |
| A local approach to forward model learning: Results on the game of life game SM Lucas, A Dockhorn, V Volz, C Bamford, RD Gaina, I Bravi, ... 2019 IEEE Conference on Games (CoG), 1-8, 2019 | 11 | 2019 |
| Learning local forward models on unforgiving games A Dockhorn, SM Lucas, V Volz, I Bravi, RD Gaina, D Perez-Liebana 2019 IEEE Conference on Games (CoG), 1-4, 2019 | 9 | 2019 |
| Variable density based clustering A Dockhorn, C Braune, R Kruse 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 9 | 2016 |
| A decision heuristic for Monte Carlo tree search doppelkopf agents A Dockhorn, C Doell, M Hewelt, R Kruse 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 7 | 2017 |
| Model decomposition for forward model approximation A Dockhorn, T Tippelt, R Kruse 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1751-1757, 2018 | 5 | 2018 |
| On merging and dividing social graphs P Held, A Dockhorn, R Kruse Journal of Artificial Intelligence and Soft Computing Research 5 (1), 23-49, 2015 | 5 | 2015 |
| Generating events for dynamic social network simulations P Held, A Dockhorn, R Kruse International Conference on Information Processing and Management of …, 2014 | 4 | 2014 |
| Detecting Sensor Dependencies for Building Complementary Model Ensembles A Dockhorn, R Kruse 28. Workshop on Computational Intelligence, 2018 | 3 | 2018 |
| Combining cooperative and adversarial coevolution in the context of pac-man A Dockhorn, R Kruse 2017 IEEE Conference on Computational Intelligence and Games (CIG), 60-67, 2017 | 3 | 2017 |
| Fuzzy multiset clustering for metagame analysis A Dockhorn, T Schwensfeier, R Kruse 11th Conference of the European Society for Fuzzy Logic and Technology …, 2019 | 2 | 2019 |
| On merging and dividing of barabasi-albert-graphs P Held, A Dockhorn, R Kruse 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS), 17-24, 2014 | 2 | 2014 |
| Association Rule Mining for Unknown Video Games A Dockhorn, C Saxton, R Kruse Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and …, 2020 | 1 | 2020 |
| Design and Implementation of TAG: A Tabletop Games Framework RD Gaina, M Balla, A Dockhorn, R Montoliu, D Perez-Liebana arXiv preprint arXiv:2009.12065, 2020 | 1 | 2020 |
| The Design Of" Stratega": A General Strategy Games Framework D Perez-Liebana, A Dockhorn, JH Grueso, D Jeurissen arXiv preprint arXiv:2009.05643, 2020 | 1 | 2020 |
| TAG: A Tabletop Games Framework RD Gaina, M Balla, A Dockhorn, R Montoliu, D Perez-Liebana Proceedings of the AIIDE workshop on Experimental AI in Games, 2020 | 1 | 2020 |
| Stratega-a general strategy games framework A Dockhorn, J Hurtado-Grueso, D Jeurissen, D Perez-Liebana Proceedings of AIIDE, 2020 | 1 | 2020 |
Rudolf KruseProfessor of Computer Science, University of MagdeburgBestätigte E-Mail-Adresse bei ovgu.de
