| Learning to solve vehicle routing problems with time windows through joint attention JK Falkner, L Schmidt-Thieme arXiv preprint arXiv:2006.09100, 2020 | 44 | 2020 |
| RP-DQN: an application of q-learning to vehicle routing problems A Bdeir, S Boeder, T Dernedde, K Tkachuk, JK Falkner, L Schmidt-Thieme KI 2021: Advances in Artificial Intelligence: 44th German Conference on AI …, 2021 | 13 | 2021 |
| Learning to Control Local Search for Combinatorial Optimization JK Falkner, D Thyssens, A Bdeir, L Schmidt-Thieme Machine Learning and Knowledge Discovery in Databases: European Conference …, 2023 | 11 | 2023 |
| Large Neighborhood Search based on Neural Construction Heuristics JK Falkner, D Thyssens, L Schmidt-Thieme arXiv preprint arXiv:2205.00772, 2022 | 6 | 2022 |
| Attention, Filling in the Gaps for Generalization in Routing Problems A Bdeir, JK Falkner, L Schmidt-Thieme Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 4 | 2022 |
| Supervised Permutation Invariant Networks for Solving the CVRP with Bounded Fleet Size D Thyssens, J Falkner, L Schmidt-Thieme arXiv preprint arXiv:2201.01529, 2022 | 3 | 2022 |
| Neural Capacitated Clustering JK Falkner, L Schmidt-Thieme arXiv preprint arXiv:2302.05134, 2023 | 1 | 2023 |
| Solving the traveling salesperson problem with precedence constraints by deep reinforcement learning C Löwens, I Ashraf, A Gembus, G Cuizon, JK Falkner, L Schmidt-Thieme German Conference on Artificial Intelligence (Künstliche Intelligenz), 160-172, 2022 | 1 | 2022 |
| Designing a Recommender System based on Generative Adversarial Networks J Falkner Institute of Information Systems, 2018 | 1 | 2018 |
| Routing Arena: A Benchmark Suite for Neural Routing Solvers D Thyssens, T Dernedde, JK Falkner, L Schmidt-Thieme arXiv preprint arXiv:2310.04140, 2023 | | 2023 |
| Too Big, so Fail?–Enabling Neural Construction Methods to Solve Large-Scale Routing Problems JK Falkner, L Schmidt-Thieme arXiv preprint arXiv:2309.17089, 2023 | | 2023 |
| Improving Hyperparameter Optimization by Planning Ahead HS Jomaa, J Falkner, L Schmidt-Thieme arXiv preprint arXiv:2110.08028, 2021 | | 2021 |
| An efficient evolutionary solution to the joint order batching-order picking planning problem R Lucato, J Falkner, L Schmidt-Thieme Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | | 2020 |
| Atomic Compression Networks J Falkner, J Grabocka, L Schmidt-Thieme | | 2019 |
| Planning and Optimal Control J Falkner, L Schmidt-Thieme | | |
| A Search Heuristic Guided Reinforcement Learning Approach to the Traveling Salesman Problem B Hogstad, J Falkner, L Schmidt-Thieme | | |
Lars Schmidt-ThiemeUniversity of Hildesheim, GermanyVerified email at ismll.uni-hildesheim.de
