no code implementations • 1 Dec 2023 • Rambod Mojgani, Daniel Waelchli, Yifei Guan, Petros Koumoutsakos, Pedram Hassanzadeh
Reinforcement learning is emerging as a potent alternative for developing such closures as it requires only low-order statistics and leads to stable closures.
no code implementations • 17 May 2023 • Daniel Waelchli, Pascal Weber, Petros Koumoutsakos
In this study, we tackle this challenge by introducing an off-policy inverse multi-agent reinforcement learning algorithm (IMARL).