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Alexander Dockhorn
Alexander Dockhorn
Bestätigte E-Mail-Adresse bei tnt.uni-hannover.de - Startseite
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Zitiert von
Zitiert von
Jahr
Introducing the hearthstone-ai competition
A Dockhorn, S Mostaghim
arXiv preprint arXiv:1906.04238, 2019
37*2019
Forward model approximation for general video game learning
A Dockhorn, D Apeldoorn
2018 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2018
312018
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
242015
Predicting opponent moves for improving hearthstone ai
A Dockhorn, M Frick, Ü Akkaya, R Kruse
International Conference on Information Processing and Management of …, 2018
232018
TAG: A tabletop games framework
R Gaina, M Balla, A Dockhorn, R Montoliu Colás
CEUR Workshop Proceedings, 2020
222020
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
222019
Generating diverse and competitive play-styles for strategy games
D Perez-Liebana, C Guerrero-Romero, A Dockhorn, L Xu, J Hurtado, ...
2021 IEEE Conference on Games (CoG), 1-8, 2021
152021
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
152019
STRATEGA: A General Strategy Games Framework.
A Dockhorn, JH Grueso, D Jeurissen, DP Liebana
AIIDE Workshops, 2020
142020
Variable density based clustering
A Dockhorn, C Braune, R Kruse
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016
142016
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
112020
Exception-tolerant hierarchical knowledge bases for forward model learning
D Apeldoorn, A Dockhorn
IEEE Transactions on Games 13 (3), 249-262, 2020
112020
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
112017
Choosing representation, mutation, and crossover in genetic algorithms
A Dockhorn, S Lucas
IEEE Computational Intelligence Magazine 17 (4), 52-53, 2022
92022
Model decomposition for forward model approximation
A Dockhorn, T Tippelt, R Kruse
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1751-1757, 2018
92018
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
92017
Portfolio search and optimization for general strategy game-playing
A Dockhorn, J Hurtado-Grueso, D Jeurissen, L Xu, D Perez-Liebana
2021 IEEE Congress on Evolutionary Computation (CEC), 2085-2092, 2021
82021
Prediction-based search for autonomous game-playing
A Dockhorn
82020
Autorl hyperparameter landscapes
A Mohan, C Benjamins, K Wienecke, A Dockhorn, M Lindauer
arXiv preprint arXiv:2304.02396, 2023
72023
Game state and action abstracting monte carlo tree search for general strategy game-playing
A Dockhorn, J Hurtado-Grueso, D Jeurissen, L Xu, D Perez-Liebana
2021 IEEE Conference on Games (CoG), 1-8, 2021
72021
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