Alexander Dockhorn
Titel
Zitiert von
Zitiert von
Jahr
Forward model approximation for general video game learning
A Dockhorn, D Apeldoorn
2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018
112018
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
Predicting opponent moves for improving hearthstone ai
A Dockhorn, M Frick, Ü Akkaya, R Kruse
International Conference on Information Processing and Management of …, 2018
92018
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
72019
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
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
42019
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
Introducing the hearthstone-ai competition
A Dockhorn, S Mostaghim
arXiv preprint arXiv:1906.04238, 2019
22019
Detecting Sensor Dependencies for Building Complementary Model Ensembles
A Dockhorn, R Kruse
28. Workshop on Computational Intelligence, 2018
22018
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
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
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
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–19