27 citations · 32 across the 6 of their papers we have counts for
6 papers
Drag Reduction in Flows Past 2D and 3D Circular Cylinders Through Deep Reinforcement Learning
Michail Chatzimanolakis, Pascal Weber, Petros Koumoutsakos
We investigate drag reduction mechanisms in flows past two- and three-dimensional cylinders controlled by surface actuators using deep reinforcement learning. We investigate 2D and…
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning
Daniel Waelchli, Pascal Weber, Petros Koumoutsakos
The discovery of individual objectives in collective behavior of complex dynamical systems such as fish schools and bacteria colonies is a long-standing challenge. Inverse reinforc…
CubismAMR -- A C++ library for Distributed Block-Structured Adaptive Mesh Refinement
Michail Chatzimanolakis, Pascal Weber, Fabian Wermelinger +1
We present CubismAMR, a C++ library for distributed simulations with block-structured grids and Adaptive Mesh Refinement. A numerical method to solve the incompressible Navier-Stok…
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning
Pascal Weber, Daniel Wälchli, Mustafa Zeqiri +1
We present the extension of the Remember and Forget for Experience Replay (ReF-ER) algorithm to Multi-Agent Reinforcement Learning (MARL). ReF-ER was shown to outperform state of t…
Learning swimming escape patterns for larval fish under energy constraints
Ioannis Mandralis, Pascal Weber, Guido Novati +1
Swimming organisms can escape their predators by creating and harnessing unsteady flow fields through their body motions. Stochastic optimization and flow simulations have identifi…
Optimal sensing for fish school identification
Pascal Weber, Georgios Arampatzis, Guido Novati +3
Fish schooling implies an awareness of the swimmers for their companions. In flow mediated environments, in addition to visual cues, pressure and shear sensors on the fish body are…