Reinforcement Twinning: from digital twins to model-based reinforcement learning

no code implementations • 7 Nov 2023 • Lorenzo Schena, Pedro Marques, Romain Poletti, Samuel Ahizi, Jan Van den Berghe, Miguel A. Mendez

Concerning the control agent training, the results show that the model-based and the model-free control training benefit from the learning experience and the complementary learning approach of each other.

Model-based Reinforcement Learning reinforcement-learning

Comparative analysis of machine learning methods for active flow control

no code implementations • 23 Feb 2022 • Fabio Pino, Lorenzo Schena, Jean Rabault, Miguel A. Mendez

Machine learning frameworks such as Genetic Programming (GP) and Reinforcement Learning (RL) are gaining popularity in flow control.

Bayesian Optimization BIG-bench Machine Learning +1