lguas
Post-doctoral researcher @TUM with focus on the application of deep learning and deep reinforcement learning to turbulent flow simulations
TUMMünchen, Deutschland
Pinned Repositories
FCN-turbulence-predictions-from-wall-quantities
Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence
MARL-drag-reduction-in-wall-bounded-flows
A multi-agent reinforcement learning environment to design and benchmark control strategies aimed at reducing drag in turbulent open channel flow
DeepTurbulence
Cylinder2DFlowControlDRLParallel
Parallelizing DRL for Active Flow control
DeepTurbulence
FCN-turbulence-predictions-from-wall-quantities
Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence
FLOW19_MLSchool
Code for the hands-on sessions of the 2019 FLOW School on Machine Learning
MARL-drag-reduction-in-wall-bounded-flows
SuperSuit
Easy-to-use micro-wrappers for Gym and PettingZoo based RL Environments
lguas's Repositories
lguas/DeepTurbulence
lguas/Cylinder2DFlowControlDRLParallel
Parallelizing DRL for Active Flow control
lguas/FCN-turbulence-predictions-from-wall-quantities
Prediction of the velocity flow fields at a given distance from wall, starting from wall-measured quantities in wall-bounded turbulence
lguas/FLOW19_MLSchool
Code for the hands-on sessions of the 2019 FLOW School on Machine Learning
lguas/MARL-drag-reduction-in-wall-bounded-flows
lguas/SuperSuit
Easy-to-use micro-wrappers for Gym and PettingZoo based RL Environments
lguas/tensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning