Blübaum, Lukas, and Stefan Heindorf. “Causal Question Answering with Reinforcement Learning.” In The World Wide Web Conference (WWW). ACM, n.d.
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De Groote, Carsten. A Dispersion Algorithm for Robot Swarms Inside Polygonal Boundary Shapes, 2024.
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Doddegowda, Rajesh. Optimal Drone Strategies For Packet Delivery, 2024.
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Thakur, Heena. Evaluating the Implications, 2024.
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Preuß, Oliver Ludger, Jeroen Rook, and Heike Trautmann. “On the Potential of Multi-Objective Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimisation Problems.”https://doi.org/10.1007/978-3-031-56852-7_20__In Applications of Evolutionary Computation. Cham: Springer Nature Switzerland, 2024.https://doi.org/10.1007/978-3-031-56852-7_20 .
LibreCat: /record/52759
DOI: 10.1007/978-3-031-56852-7_20

Vinzent Seiler, Moritz, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, and Heike Trautmann. “Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP.”https://doi.org/10.1109/ssci52147.2023.10372008__In 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2024.https://doi.org/10.1109/ssci52147.2023.10372008 .
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DOI: 10.1109/ssci52147.2023.10372008

Philipp, Friedrich, Manuel Schaller, Karl Worthmann, Sebastian Peitz, and Feliks Nüske. “Error Bounds for Kernel-Based Approximations of the Koopman Operator.”https://doi.org/10.1016/j.acha.2024.101657__Applied and Computational Harmonic Analysis  71 (2024).https://doi.org/10.1016/j.acha.2024.101657 .
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DOI: 10.1016/j.acha.2024.101657
arXiv: 2301.08637

Lass, Michael, Tobias Kenter, Christian Plessl, and Martin Brehm. “Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations.”https://doi.org/10.3390/e26040322__Entropy 26, no. 4 (2024).https://doi.org/10.3390/e26040322 .
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DOI: 10.3390/e26040322

Olgu, Kaan, Tobias Kenter, Jose Nunez-Yanez, and Simon Mcintosh-Smith. “Optimisation and Evaluation of Breadth First Search with OneAPI/SYCL on Intel FPGAs: From Describing Algorithms to Describing Architectures.”https://doi.org/10.1145/3648115.3648134__In Proceedings of the 12th International Workshop on OpenCL and SYCL. ACM, 2024.https://doi.org/10.1145/3648115.3648134 .
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DOI: 10.1145/3648115.3648134

Ghafouri, Saeid, Kamran Razavi, Mehran Salmani, Alireza Sanaee, Tania  Lorido Botran, Lin Wang, Joseph Doyle, and Pooyan Jamshidi. “IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency.” Journal of Systems Research (JSys), n.d.
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