| Forward model approximation for general video game learning A Dockhorn, D Apeldoorn 2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018 | 11 | 2018 |
| 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 | 11 | 2015 |
| Variable density based clustering A Dockhorn, C Braune, R Kruse 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 10 | 2016 |
| Predicting opponent moves for improving hearthstone ai A Dockhorn, M Frick, Ü Akkaya, R Kruse International Conference on Information Processing and Management of …, 2018 | 9 | 2018 |
| 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 | 7 | 2019 |
| Hearthstone ai competition A Dockhorn, S Mostaghim | 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 |
| 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 | 4 | 2019 |
| 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 | 4 | 2017 |
| Generating events for dynamic social network simulations P Held, A Dockhorn, R Kruse International Conference on Information Processing and Management of …, 2014 | 4 | 2014 |
| Model Decomposition for Forward Model Approximation A Dockhorn, T Tippelt, R Kruse 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1751-1757, 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 |
| Introducing the hearthstone-ai competition A Dockhorn, S Mostaghim arXiv preprint arXiv:1906.04238, 2019 | 2 | 2019 |
| Detecting Sensor Dependencies for Building Complementary Model Ensembles A Dockhorn, R Kruse 28. Workshop on Computational Intelligence, 2018 | 2 | 2018 |
| 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 |
| Using a multiobjective genetic algorithm for curve approximation T Sabsch, C Braune, A Dockhorn, R Kruse 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2017 | 1 | 2017 |
| Clustering Social Networks Using Competing Ant Hives P Held, A Dockhorn, B Krause, R Kruse 2015 Second European Network Intelligence Conference, 67-74, 2015 | 1 | 2015 |
| Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning D Apeldoorn, A Dockhorn IEEE Transactions on Games, 2020 | | 2020 |
| Fuzzy Multiset Clustering for Metagame Analysis A Dockhorn, T Schwensfeier, R Kruse 2019 Conference of the International Fuzzy Systems Association and the …, 2019 | | 2019 |
Rudolf KruseProfessor of Computer Science, University of MagdeburgBestätigte E-Mail-Adresse bei ovgu.de
