Profile information

Prof. Dr.  Alexander Dockhorn

https://orcid.org/0000-0001-8711-7428
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Publications

  1. 2024
  2. Published

    Strategy Game-Playing with Size-Constrained State Abstraction

    Xu, L., Perez-Liebana, D. & Dockhorn, A., 28 Aug 2024, Proceedings of the 2024 IEEE Conference on Games, CoG 2024. IEEE Computer Society, (IEEE Conference on Computatonal Intelligence and Games, CIG).

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

  3. Published

    Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning

    Xu, L., Liu, Z., Dockhorn, A., Perez-Liebana, D., Wang, J., Song, L. & Bian, J., 5 Aug 2024, Proceedings of the 2024 IEEE Conference on Games, CoG 2024. IEEE Computer Society, (IEEE Conference on Computatonal Intelligence and Games, CIG).

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

  4. Published

    Markov Senior: Learning Markov Junior Grammars to Generate User-specified Content

    Oguz, M. K. & Dockhorn, A., 5 Aug 2024, Proceedings of the 2024 IEEE Conference on Games, CoG 2024. IEEE Computer Society, (IEEE Conference on Computatonal Intelligence and Games, CIG).

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

  5. Published

    Match Point AI: A Novel AI Framework for Evaluating Data-Driven Tennis Strategies

    Nübel, C., Dockhorn, A. & Mostaghim, S., 5 Aug 2024, Proceedings of the 2024 IEEE Conference on Games, CoG 2024. IEEE Computer Society, (IEEE Conference on Computatonal Intelligence and Games, CIG).

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

  6. Published

    Online Optimization of Curriculum Learning Schedules using Evolutionary Optimization

    Jiwatode, M., Schlecht, L. & Dockhorn, A., 5 Aug 2024, Proceedings of the 2024 IEEE Conference on Games, CoG 2024. IEEE Computer Society, (IEEE Conference on Computatonal Intelligence and Games, CIG).

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

  7. Published

    Personalized Dynamic Difficulty Adjustment Imitation Learning Meets Reinforcement Learning

    Fuchs, R., Gieseke, R. & Dockhorn, A., 5 Aug 2024, Proceedings of the 2024 IEEE Conference on Games, CoG 2024. IEEE Computer Society, (IEEE Conference on Computatonal Intelligence and Games, CIG).

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

  8. Published

    Preface

    Dockhorn, A., Loiacono, D., Mekler, E., Burelli, P. & Jiwatode, M., 5 Aug 2024, 2024 IEEE Conference on Games (CoG). 3 p. (IEEE Conference on Computatonal Intelligence and Games, CIG).

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

  9. Published

    AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios

    Apeldoorn, D., Dockhorn, A. & Panholzer, T., 1 Aug 2024, GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion. p. 1-2 2 p.

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

  10. Published

    Guest Editorial: AI-eXplained (Part II)

    Chung, P. C., Dockhorn, A. & Huang, J. W., 8 Feb 2024, In: IEEE Computational Intelligence Magazine. 19, 1, p. 76-77 2 p.

    Research output: Contribution to journal › Editorial in journal › Research › peer review

  11. 2023
  12. Published

    Elastic Monte Carlo Tree Search

    Xu, L., Dockhorn, A. & Perez-Liebana, D., Dec 2023, In: IEEE Transactions on Games. 15, 4, p. 527-537 11 p.

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

  13. Published

    AutoRL Hyperparameter Landscapes

    Mohan, A., Benjamins, C., Wienecke, K., Dockhorn, A. & Lindauer, M., 12 Nov 2023, Conference Proceedings - Second International Conference on Automated Machine Learning. 27 p. (Proceedings of Machine Learning Research; vol. 228).

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

  14. Published

    AI-Explained: (Part I)

    Chung, P. C., Dockhorn, A. & Huang, J. W., Nov 2023, In: IEEE Computational Intelligence Magazine. 18, 4, p. 58-59 2 p.

    Research output: Contribution to journal › Editorial in journal › Research › peer review

  15. Accepted/In press

    Extended Abstract: AutoRL Hyperparameter Landscapes

    Mohan, A., Benjamins, C., Wienecke, K., Dockhorn, A. & Lindauer, M., 15 Sept 2023, (Accepted/In press) The 16th European Workshop on Reinforcement Learning (EWRL 2023).

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

  16. Published

    State and Action Abstraction for Search and Reinforcement Learning Algorithms

    Dockhorn, A. & Kruse, R., 18 Apr 2023, Studies in Computational Intelligence. Cham: Springer Science and Business Media Deutschland GmbH, p. 181-198 18 p. (Studies in Computational Intelligence; vol. 1087).

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

  17. Published

    Evolutionary Optimization of Baba Is You Agents

    Olson, C., Wagner, L. & Dockhorn, A., 2023, 2023 IEEE Congress on Evolutionary Computation, CEC 2023. Institute of Electrical and Electronics Engineers Inc.

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

  18. Published

    Genetic Assessment Agent for High-School Student and Machine Co-Learning Model Construction on Computational Intelligence Experience

    Lee, C. S., Wang, M. H., Chen, C. Y., Yang, F. J. & Dockhorn, A., 2023, 2023 IEEE Congress on Evolutionary Computation, CEC 2023. Institute of Electrical and Electronics Engineers Inc.

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

  19. 2022

  20. Balancing Exploration and Exploitation in Forward Model Learning

    Dockhorn, A. & Kruse, R., 3 Nov 2022, Studies in Systems, Decision and Control. Springer Science and Business Media Deutschland GmbH, p. 1-19 19 p. (Studies in Systems, Decision and Control; vol. 379).

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

  21. Published

    Choosing Representation, Mutation, and Crossover in Genetic Algorithms

    Dockhorn, A. & Lucas, S., 1 Nov 2022, In: IEEE Computational Intelligence Magazine. 17, 4, p. 52-53 2 p.

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

  22. Published

    Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing

    Xu, L., Hurtado-Grueso, J., Jeurissen, D., Liebana, D. P. & Dockhorn, A., 2022, 2022 IEEE Conference on Games, CoG 2022. IEEE Computer Society, p. 369-376 8 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

  23. Evolutionary Algorithm for Parameter Optimization of Context Steering Agents

    Dockhorn, A., Kirst, M., Mostaghim, S., Wieczorek, M. & Zille, H., 2022, In: IEEE Transactions on Games. 15, 1, p. 26-35 10 p.

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

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