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ORCIDLaurin Luttmann
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2020 – today
- 2025
[c4]Federico Berto
, Chuanbo Hua, Junyoung Park, Laurin Luttmann, Yining Ma, Fanchen Bu, Jiarui Wang, Haoran Ye, Minsu Kim, Sanghyeok Choi, Nayeli Gast Zepeda, André Hottung, Jianan Zhou, Jieyi Bi, Yu Hu, Fei Liu, Hyeonah Kim, Jiwoo Son, Haeyeon Kim, Davide Angioni, Wouter Kool, Zhiguang Cao, Qingfu Zhang, Joungho Kim, Jie Zhang, Kijung Shin, Cathy Wu, Sungsoo Ahn, Guojie Song, Changhyun Kwon, Kevin Tierney, Lin Xie, Jinkyoo Park:
RL4CO: An Extensive Reinforcement Learning for Combinatorial Optimization Benchmark. KDD (2) 2025: 5278-5289- [c3]Laurin Luttmann, Lin Xie:
Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding. LION (1) 2025: 32-51 - [i4]Laurin Luttmann, Lin Xie:
Learning to Solve the Min-Max Mixed-Shelves Picker-Routing Problem via Hierarchical and Parallel Decoding. CoRR abs/2502.10233 (2025) - [i3]Laurin Luttmann, Lin Xie:
Multi-Action Self-Improvement for Neural Combinatorial Optimization. CoRR abs/2510.12273 (2025) - 2024
- [c2]Laurin Luttmann, Lin Xie:
Neural Combinatorial Optimization on Heterogeneous Graphs: An Application to the Picker Routing Problem in Mixed-shelves Warehouses. ICAPS 2024: 351-359 - [i2]Federico Berto, Chuanbo Hua, Laurin Luttmann, Jiwoo Son, Junyoung Park, Kyuree Ahn, Changhyun Kwon, Lin Xie, Jinkyoo Park:
PARCO: Learning Parallel Autoregressive Policies for Efficient Multi-Agent Combinatorial Optimization. CoRR abs/2409.03811 (2024) - 2023
- [j1]Lin Xie, Hanyi Li, Laurin Luttmann:
Formulating and solving integrated order batching and routing in multi-depot AGV-assisted mixed-shelves warehouses. Eur. J. Oper. Res. 307(2): 713-730 (2023) - 2021
- [c1]Laurin Luttmann, Paolo Mercorelli:
Comparison of Backpropagation and Kalman Filter-based Training for Neural Networks. ICSTCC 2021: 234-241 - [i1]Lin Xie, Hanyi Li, Laurin Luttmann:
Formulating and solving integrated order batching and routing in multi-depot AGV-assisted mixed-shelves warehouses. CoRR abs/2101.11473 (2021)
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