Paehler, Ludger

4 publications

L4DC 2025 HydroGym: A Reinforcement Learning Platform for Fluid Dynamics Christian Lagemann, Ludger Paehler, Jared Callaham, Sajeda Mokbel, Samuel Ahnert, Kai Lagemann, Esther Lagemann, Nikolaus Adams, Steven Brunton

DMLR 2024 ComPile: A Large IR Dataset from Production Sources Aiden Grossman, Ludger Paehler, Konstantinos Parasyris, Tal Ben-Nun, Jacob Hegna, William S. Moses, Jose M Monsalve Diaz, Mircea Trofin, Johannes Doerfert

NeurIPSW 2023 Koopman-Assisted Reinforcement Learning Preston Rozwood, Edward Mehrez, Ludger Paehler, Wen Sun, Steven Brunton

ICMLW 2022 On the Relationships Between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods Artur Toshev, Ludger Paehler, Andrea Panizza, Nikolaus A. Adams