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  • CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning

    Sauter, A., Botteghi, N., Acar, E. & Plaat, A., May 2024, AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. ACM Digital Library, p. 1664-1672 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 2024, no. May).

    Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

  • CAGE: Causality-Aware Shapley Value for Global Explanations

    Breuer, N. O., Sauter, A., Mohammadi, M. & Acar, E., 2024, Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part III. Longo, L., Lapuschkin, S. & Seifert, C. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 3. p. 143-162 20 p. (Communications in Computer and Information Science; vol. 2155 CCIS).

    Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

  • A Meta-Reinforcement Learning Algorithm for Causal Discovery

    Sauter, A., Acar, E. & François-Lavet, V., 6 Jul 2022, (Accepted/In press).

    Research output: Working paper / PreprintWorking paperAcademic

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