2.9k citations · 4.9k across the 58 of their papers we have counts for
4 papers · 1 filter
Improved Memories Learning
Francesco Varoli, Guido Novati, Pantelis R. Vlachas +1
We propose Improved Memories Learning (IMeL), a novel algorithm that turns reinforcement learning (RL) into a supervised learning (SL) problem and delimits the role of neural netwo…
Multiscale Simulations of Complex Systems by Learning their Effective Dynamics
Pantelis R. Vlachas, Georgios Arampatzis, Caroline Uhler +1
Predictive simulations of complex systems are essential for applications ranging from weather forecasting to drug design. The veracity of these predictions hinges on their capacity…
Korali: Efficient and Scalable Software Framework for Bayesian Uncertainty Quantification and Stochastic Optimization
Sergio M. Martin, Daniel Wälchli, Georgios Arampatzis +3
We present Korali, an open-source framework for large-scale Bayesian uncertainty quantification and stochastic optimization. The framework relies on non-intrusive sampling of compl…
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning
Guido Novati, Hugues Lascombes de Laroussilhe, Petros Koumoutsakos
The modeling of turbulent flows is critical to scientific and engineering problems ranging from aircraft design to weather forecasting and climate prediction. Over the last sixty y…