Institut für Informationsverarbeitung (TNT) - Homepage of Alexander Dockhorn

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Alexander Dockhorn
Choosing Representation, Mutation, and Crossover in Genetic Algorithms
IEEE Computational Intelligence Magazine, IEEE, Vol. 17, No. 4, pp. 52-53, November 2022
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Alexander Dockhorn, Rudolf Kruse
Balancing Exploration and Exploitation in Forward Model Learning
Advances in Intelligent Systems Research and Innovation, Springer International Publishing, pp. 1--19, Cham, 2022, edited by Sgurev, Vassil; Jotsov, Vladimir; Kacprzyk, Janusz
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Linjie Xu, Jorge Hurtado-Grueso, Dominic Jeurissen, Diego Perez Liebana, Alexander Dockhorn
Elastic Monte Carlo Tree Search State Abstraction for Strategy Game Playing
2022 IEEE Conference on Games (CoG), IEEE, 2022
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Lars Wagner, Christopher Olson, Alexander Dockhorn
Generalizations of Steering - A Modular Design
2022 IEEE Conference on Games (CoG), IEEE, pp. 1-4, 2022
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Linjie Xu, Diego Perez-Liebana, Alexander Dockhorn
Towards Applicable State Abstractions: a Preview in Strategy
The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM) - RL as a Model of Agency, pp. 1-7, 2022
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Alexander Dockhorn, Martin Kirst, Sanaz Mostaghim, Martin Wieczorek, Heiner Zille
Evolutionary Algorithm for Parameter Optimization of Context Steering Agents
IEEE Transactions on Games, IEEE, pp. 1-12, 2022
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Alexander Dockhorn, Rudolf Kruse
State and Action Abstraction for Search and Reinforcement Learning Algorithms
Artificial Intelligence in Control and Decision-making Systems, Springer International Publishing, pp. 1-18, 2022
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Alexander Dockhorn, Rudolf Kruse
Modelheuristics for efficient forward model learning
At-Automatisierungstechnik, De Gruyter, October 2021
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Alexander Dockhorn, Jorge Hurtado-Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez-Liebana
Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing
Proceedings of the 2021 IEEE Conference on Games (CoG), IEEE, pp. 1--8, August 2021
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Daan Apeldoorn, Alexander Dockhorn
Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning
IEEE Transactions on Games, Vol. 13, No. 3, pp. 249-262, 2021
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Alexander Dockhorn, Jorge Hurtado-Grueso, Dominik Jeurissen, Linjie Xu, Diego Perez-Liebana
Portfolio Search and Optimization for General Strategy Game-Playing
2021 IEEE Congress on Evolutionary Computation (CEC), IEEE, pp. 2085-2092, 2021
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Diego Perez-Liebana, Cristina Guerrero-Romero, Alexander Dockhorn, Linjie Xu, Jorge Hurtado, Dominik Jeurissen
Generating Diverse and Competitive Play-Styles for Strategy Games
2021 IEEE Conference on Games (CoG), IEEE, pp. 1-8, 2021
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Alexander Dockhorn, Sanaz Mostaghim, Martin Kirst, Martin Zettwitz
Multi-Objective Optimization and Decision-Making in Context Steering
2021 IEEE Conference on Games (CoG), IEEE, pp. 1-8, 2021
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Alexander Dockhorn, Rudolf Kruse
Fuzzy Modeling in Game AI
Journal of Pure and Applied Mathematics, TWMS, Vol. 12, No. 1, pp. 54-68, 2021
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Alexander Dockhorn, Chris Saxton, Rudolf Kruse
Association Rule Mining for Unknown Video Games
Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications, Springer Cham, pp. 257--270, October 2020, edited by Lesot, Marie-Jeanne; Marsala, Christophe
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Alexander Dockhorn, Rudolf Kruse
Forward Model Learning for Motion Control Tasks
2020 IEEE 10th International Conference on Intelligent Systems (IS), pp. 1--5, Varna, Bulgaria, September 2020
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Alexander Dockhorn, Rudolf Kruse
Predicting Cards Using a Fuzzy Multiset Clustering of Decks
International Journal of Computational Intelligence Systems (IJCIS), Atlantis Press, Vol. 13, No. 1, pp. 1207--1217, August 2020
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Alexander Dockhorn, Simon Lucas
Local Forward Model Learning for GVGAI Games
IEEE Conference on Computational Intelligence and Games, CIG, pp. 716--723, August 2020
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Alexander Dockhorn
Dissertation: Prediction-based Search for Autonomous Game-Playing
Otto von Guericke University Magdeburg, pp. 1--231, 2020
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Raluca D. Gaina, Martin Balla, Alexander Dockhorn, Raul Montoliu, Diego Perez-Liebana
Design and Implementation of TAG: A Tabletop Games Framework.
arXiv:2009.12065, 2020
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Diego Perez-Liebana, Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen
The Design Of “Stratega”: A General Strategy Games Framework
arXiv:2009.05643, pp. 1--7, 2020
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Raluca D Gaina, Martin Balla, Alexander Dockhorn, Raul Montoliu, Diego Perez-liebana
TAG : A Tabletop Games Framework
Joint Proceedings of the AIIDE 2020 Workshops co-located with 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2020); CEUR Workshop Proceedings (2020), CEUR Workshop Proceedings, pp. 1--7, Worcester, 2020, edited by J. C. Osborn
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Alexander Dockhorn, Jorge Hurtado Grueso, Dominik Jeurissen, Diego Perez-Liebana
“Stratega”: A General Strategy Games Framework
Joint Proceedings of the AIIDE 2020 Workshops co-located with 16th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2020); Artificial Intelligence for Strategy Games, CEUR Workshop Proceedings, pp. 1--7, Worcester, 2020, edited by Osborn, Joesph C.
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Alexander Dockhorn, Tony Schwensfeier, Rudolf Kruse
Fuzzy Multiset Clustering for Metagame Analysis
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), Atlantis Press, pp. 536-543, August 2019
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Alexander Dockhorn, Simon M Lucas, Vanessa Volz, Ivan Bravi, Raluca D Gaina, Diego Perez-Liebana
Learning Local Forward Models on Unforgiving Games
2019 IEEE Conference on Games (CoG), IEEE, August 2019
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Simon M Lucas, Alexander and Volz Dockhorn, Raluca D Gaina, Ivan Bravi, Diego Perez-Liebana, Sanaz Mostaghim, Rudolf Kruse
A Local Approach to Forward Model Learning: Results on the Game of Life Game
2019 IEEE Conference on Games (CoG), IEEE, pp. 1--8, August 2019
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Alexander Dockhorn, Sanaz Mostaghim
Introducing the Hearthstone-AI Competition
arXiv:1906.04238, pp. 1--4, May 2019
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Alexander Dockhorn, Tim Tippelt, Rudolf Kruse
Model Decomposition for Forward Model Approximation
2018 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, pp. 1751--1757, November 2018
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Alexander Dockhorn, Daan Apeldoorn
Forward Model Approximation for General Video Game Learning
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games (CIG’18), IEEE, p. 425–432, August 2018
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Tim Sabsch, Christian Braune, Alexander Dockhorn, Rudolf Kruse
Using a multiobjective genetic algorithm for curve approximation
2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, IEEE, pp. 1--6, January 2018
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Alexander Dockhorn, Max Frick, Ünal Akkaya, Rudolf Kruse
Predicting Opponent Moves for Improving Hearthstone AI
17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2018, Springer International Publishing, pp. 621--632, 2018, edited by Medina, Jesus; Ojeda-Aciego, Manuel; Verdegay, José
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Alexander Dockhorn, Rudolf Kruse
Detecting Sensor Dependencies for Building Complementary Model Ensembles
Proceedings of the 28. Workshop Computational Intelligence, Dortmund, 29.-30. November 2018, KIT Scientific Publishing, pp. 217--234, 2018, edited by Hoffmann, Frank; Hüllermeier, Eyke; Mikut, Ralf
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Alexander Dockhorn, Christoph Doell, Matthias Hewelt, Rudolf Kruse
A decision heuristic for Monte Carlo tree search doppelkopf agents
2017 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, pp. 1--8, November 2017
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Alexander Dockhorn, Rudolf Kruse
Combining cooperative and adversarial coevolution in the context of pac-man
2017 IEEE Conference on Computational Intelligence and Games, CIG 2017, pp. 60--67, 2017
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Alexander Dockhorn, Christian Braune, Rudolf Kruse
Variable density based clustering
2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, pp. 1--8, December 2016
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Pascal Held, Alexander Dockhorn, Benjamin Krause, Rudolf Kruse
Clustering Social Networks Using Competing Ant Hives
2015 Second European Network Intelligence Conference, IEEE, pp. 67--74, September 2015
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Pascal Held, Alexander Dockhorn, Rudolf Kruse
On Merging and Dividing Social Graphs
Journal of Artificial Intelligence and Soft Computing Research, Walter de Gruyter, Vol. 5, No. 1, pp. 23--49, January 2015
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Alexander Dockhorn, Christian Braune, Rudolf Kruse
An Alternating Optimization Approach based on Hierarchical Adaptations of DBSCAN
2015 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, No. 2, pp. 749--755, 2015
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Alexander Dockhorn
Master Thesis: Hierarchical Extensions and Cluster Validation Techniques for DBSCAN
Otto von Guericke University Magdeburg, pp. 1-80, 2015
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Alexander Dockhorn
Bachelor Thesis: Computergestützte Analyse onkologischer Daten mithilfe Graphischer Modelle
Otto von Guericke University of Magdeburg, pp. 1--80, April 2014
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Pascal Held, Alexander Dockhorn, Rudolf Kruse
On Merging and Dividing of Barabasi-Albert-graphs
2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS), Vol. 444, 2014
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Pascal Held, Alexander Dockhorn, Rudolf Kruse
Generating Events for Dynamic Social Network Simulations
Information Processing and Management of Uncertainty in Knowledge-Based Systems, Springer International Publishing, pp. 46--55, Cham, 2014, edited by Laurent, Anne; Strauss, Olivier; Bouchon-Meunier, Bernadette; Yager, Ronald R.
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