Profile information

Prof. Dr.  Alexander Dockhorn

https://orcid.org/0000-0001-8711-7428
View graph of relations
21 - 40 out of 48Page size: 20

Publications

  1. 2022
  2. Published

    Generalizations of Steering: A Modular Design

    Wagner, L., Olson, C. & Dockhorn, A., 2022, 2022 IEEE Conference on Games, CoG 2022. IEEE Computer Society, p. 580-583 4 p. (IEEE Conference on Computatonal Intelligence and Games, CIG; vol. 2022-August).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  3. 2021

  4. Modellheuristiken für effizientes forward model learning

    Dockhorn, A. & Kruse, R., 26 Oct 2021, In: At-Automatisierungstechnik. 69, 10, p. 848-857 10 p.

    Research output: Contribution to journal › Article › Research › peer review

  5. Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning

    Apeldoorn, D. & Dockhorn, A., Sept 2021, In: IEEE Transactions on Games. 13, 3, p. 249-262 14 p.

    Research output: Contribution to journal › Article › Research › peer review

  6. Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing

    Dockhorn, A., Hurtado-Grueso, J., Jeurissen, D., Xu, L. & Perez-Liebana, D., 2021, 2021 IEEE Conference on Games, CoG 2021. IEEE Computer Society, (IEEE Conference on Computatonal Intelligence and Games, CIG; vol. 2021-August).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  7. Generating Diverse and Competitive Play-Styles for Strategy Games

    Perez-Liebana, D., Guerrero-Romero, C., Dockhorn, A., Xu, L., Hurtado, J. & Jeurissen, D., 2021, 2021 IEEE Conference on Games, CoG 2021. IEEE Computer Society, (IEEE Conference on Computatonal Intelligence and Games, CIG; vol. 2021-August).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  8. Multi-Objective Optimization and Decision-Making in Context Steering

    Dockhorn, A., Mostaghim, S., Kirst, M. & Zettwitz, M., 2021, 2021 IEEE Conference on Games, CoG 2021. IEEE Computer Society, (IEEE Conference on Computatonal Intelligence and Games, CIG; vol. 2021-August).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  9. Portfolio Search and Optimization for General Strategy Game-Playing

    Dockhorn, A., Hurtado-Grueso, J., Jeurissen, D., Xu, L. & Perez-Liebana, D., 2021, 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2085-2092 8 p. (2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  10. 2020

  11. Association Rule Mining for Unknown Video Games

    Dockhorn, A., Saxton, C. & Kruse, R., 27 Oct 2020, Studies in Fuzziness and Soft Computing. Springer Science and Business Media Deutschland GmbH, p. 257-270 14 p. (Studies in Fuzziness and Soft Computing; vol. 394).

    Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review

  12. Forward Model Learning for Motion Control Tasks

    Dockhorn, A. & Kruse, R., Aug 2020, 2020 IEEE 10th International Conference on Intelligent Systems, IS 2020 - Proceedings. Sgurev, V., Jotsov, V., Kruse, R. & Hadjiski, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 551-556 6 p. 9199978. (2020 IEEE 10th International Conference on Intelligent Systems, IS 2020 - Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  13. Local Forward Model Learning for GVGAI Games

    Dockhorn, A. & Lucas, S., Aug 2020, IEEE Conference on Games, CoG 2020. IEEE Computer Society, p. 716-723 8 p. 9231793. (IEEE Conference on Computatonal Intelligence and Games, CIG; vol. 2020-August).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  14. Fuzzy multiset clustering for metagame analysis

    Dockhorn, A., Schwensfeier, T. & Kruse, R., 2020, Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019. Novak, V., Marik, V., Stepnicka, M., Navara, M. & Hurtik, P. (eds.). Atlantis Press SARL, p. 536-543 8 p. (Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  15. Predicting cards using a fuzzy multiset clustering of decks

    Dockhorn, A. & Kruse, R., 2020, In: International Journal of Computational Intelligence Systems. 13, 1, p. 1207-1217 11 p.

    Research output: Contribution to journal › Article › Research › peer review

  16. STRATEGA - A general strategy games framework

    Dockhorn, A., Hurtado-Grueso, J., Jeurissen, D. & Perez-Liebana, D., 2020, AIIDE 2020 Workshops: 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; vol. 2862).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  17. TAG: A tabletop games framework

    Gaina, R. D., Balla, M., Dockhorn, A., Montoliu, R. & Perez-Liebana, D., 2020, AIIDE 2020 Workshops: 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; vol. 2862).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  18. 2019

  19. A local approach to forward model learning: Results on the game of life game

    Lucas, S. M., Dockhorn, A., Volz, V., Bamford, C., Gaina, R. D., Bravi, I., Perez-Liebana, D., Mostaghim, S. & Kruse, R., Aug 2019, IEEE Conference on Games 2019, CoG 2019. IEEE Computer Society, 8848002. (IEEE Conference on Computatonal Intelligence and Games, CIG; vol. 2019-August).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  20. Learning local forward models on unforgiving games

    Dockhorn, A., Lucas, S. M., Volz, V., Bravi, I., Gaina, R. D. & Perez-Liebana, D., Aug 2019, IEEE Conference on Games 2019, CoG 2019. IEEE Computer Society, 8848044. (IEEE Conference on Computatonal Intelligence and Games, CIG; vol. 2019-August).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  21. Model Decomposition for Forward Model Approximation

    Dockhorn, A., Tippelt, T. & Kruse, R., 28 Jan 2019, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. Sundaram, S. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 1751-1757 7 p. 8628624. (Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  22. 2018

  23. Forward Model Approximation for General Video Game Learning

    Dockhorn, A. & Apeldoorn, D., 11 Oct 2018, Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, CIG 2018. IEEE Computer Society, 8490411. (IEEE Conference on Computatonal Intelligence and Games, CIG; vol. 2018-August).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  24. Predicting opponent moves for improving hearthstone AI

    Dockhorn, A., Frick, M., Akkaya, Ü. & Kruse, R., 18 May 2018, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations - 17th International Conference, IPMU 2018, Proceedings. Medina, J., Bouchon-Meunier, B., Yager, R. R., Verdegay, J. L., Pelta, D. A., Ojeda-Aciego, M. & Cabrera, I. P. (eds.). Springer Verlag, p. 621-632 12 p. (Communications in Computer and Information Science; vol. 854).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  25. A decision heuristic for Monte Carlo tree search doppelkopf agents

    Dockhorn, A., Doell, C., Hewelt, M. & Kruse, R., 2 Feb 2018, 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1-8 8 p. (2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings; vol. 2018-January).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Previous 1 2 3 Next