Alexander Dockhorn
TitelZitiert vonJahr
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
112015
Variable density based clustering
A Dockhorn, C Braune, R Kruse
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
102016
Forward model approximation for general video game learning
A Dockhorn, D Apeldoorn
2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018
82018
Predicting opponent moves for improving hearthstone ai
A Dockhorn, M Frick, Ü Akkaya, R Kruse
International Conference on Information Processing and Management of …, 2018
82018
Hearthstone ai competition
A Dockhorn, S Mostaghim
52018
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
52015
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
42017
Generating events for dynamic social network simulations
P Held, A Dockhorn, R Kruse
International Conference on Information Processing and Management of …, 2014
42014
Model Decomposition for Forward Model Approximation
A Dockhorn, T Tippelt, R Kruse
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1751-1757, 2018
32018
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
32017
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
22019
Introducing the hearthstone-ai competition
A Dockhorn, S Mostaghim
arXiv preprint arXiv:1906.04238, 2019
22019
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
22014
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
12019
Detecting Sensor Dependencies for Building Complementary Model Ensembles
A Dockhorn, R Kruse
28. Workshop on Computational Intelligence, 2018
12018
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
12017
Clustering Social Networks Using Competing Ant Hives
P Held, A Dockhorn, B Krause, R Kruse
2015 Second European Network Intelligence Conference, 67-74, 2015
12015
Fuzzy Multiset Clustering for Metagame Analysis
A Dockhorn, T Schwensfeier, R Kruse
2019 Conference of the International Fuzzy Systems Association and the …, 2019
2019
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