Algorithm Control: Efficient Learning to Control Algorithm Parameters

Project: Research

Status	Finished
Effective start/end date	1 Oct 2020 → 14 Sept 2024

Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization
Benjamins, C., Cenikj, G., Nikolikj, A., Mohan, A., Eftimov, T. & Lindauer, M., 1 Aug 2024, Genetic and Evolutionary Computation Conference (GECCO). Association for Computing Machinery Special Interest Group on Genetic and Evolutionary Computation (SIGEVO), p. 563 - 566 4 p.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Verfahren zum Trainieren eines Algorithmus des maschinellen Lernens durch ein bestärkendes Lernverfahren
Eimer, T. (Inventor), Hutter, F. (Inventor), Lindauer, M. (Inventor) & Biedenkapp, A. (Inventor), 4 Apr 2024, IPC No. G06N20/00, Deutsches Patent- und Markenamt (DPMA), Patent No. DE102022210480A1, 4 Oct 2022, Priority date 4 Oct 2022, Priority No. DE202210210480A
Research output: Patent

Open Access
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning
Schubert, F., Benjamins, C., Döhler, S., Rosenhahn, B. & Lindauer, M., Apr 2023, In: Transactions on Machine Learning Research. 2023, 4
Research output: Contribution to journal › Article › Research › peer review

Open Access

Project Details