Jun.-Prof. Dr.-Ing. Alexander Dockhorn
Leibniz Universität Hannover
Institut für Informationsverarbeitung
Appelstr. 9A
30167 Hannover
Germany
phone: +49 511 762-5046
fax: +49 511 762-5333
office location: room 1327A
Show selected publications only
  • 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
  • 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
  • Lars Wagner, Christopher Olson, Alexander Dockhorn
    Generalizations of Steering - A Modular Design
    2022 IEEE Conference on Games (CoG), IEEE, pp. 1-4, 2022
  • 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
  • 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
  • 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
  • Alexander Dockhorn, Rudolf Kruse
    Modelheuristics for efficient forward model learning
    At-Automatisierungstechnik, De Gruyter, October 2021
  • 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
  • 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
  • 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
  • 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
  • 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
  • Alexander Dockhorn, Rudolf Kruse
    Fuzzy Modeling in Game AI
    Journal of Pure and Applied Mathematics, TWMS, Vol. 12, No. 1, pp. 54-68, 2021
  • 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
  • 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
  • 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
  • Alexander Dockhorn, Simon Lucas
    Local Forward Model Learning for GVGAI Games
    IEEE Conference on Computational Intelligence and Games, CIG, pp. 716--723, August 2020
  • Alexander Dockhorn
    Dissertation: Prediction-based Search for Autonomous Game-Playing
    Otto von Guericke University Magdeburg, pp. 1--231, 2020
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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
  • Alexander Dockhorn, Sanaz Mostaghim
    Introducing the Hearthstone-AI Competition
    arXiv:1906.04238, pp. 1--4, May 2019
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Alexander Dockhorn, Christian Braune, Rudolf Kruse
    Variable density based clustering
    2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, pp. 1--8, December 2016
  • 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
  • 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
  • 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
  • Alexander Dockhorn
    Master Thesis: Hierarchical Extensions and Cluster Validation Techniques for DBSCAN
    Otto von Guericke University Magdeburg, pp. 1-80, 2015
  • Alexander Dockhorn
    Bachelor Thesis: Computergestützte Analyse onkologischer Daten mithilfe Graphischer Modelle
    Otto von Guericke University of Magdeburg, pp. 1--80, April 2014
  • 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
  • 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.