A review on Deep Reinforcement Learning for Fluid Mechanics

A review on Deep Reinforcement Learning for Fluid Mechanics

12 August 2019

Papers citing "A review on Deep Reinforcement Learning for Fluid Mechanics"

19 / 19 papers shown

Title
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning David Ramos Lucas Lacasa E. Valero G. Rubio AI4CE 27 0 0 05 May 2025
SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning Xuyang Li Romit Maulik 46 0 0 24 Feb 2025
A reinforcement learning strategy to automate and accelerate h/p-multigrid solvers D. Huergo Laura Alonso S. Joshi Adrian Juanicoteca Gonzalo Rubio Esteban Ferrer AI4CE 28 4 0 18 Jul 2024
Learning to Move Objects with Fluid Streams in a Differentiable Simulation Kārlis Freivalds Laura Leja Oskars Teikmanis AI4CE OCL 26 0 0 28 Apr 2024
Enhancing Low-Order Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier--Stokes Equations Shinhoo Kang Emil M. Constantinescu AI4CE 22 0 0 29 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 20 10 0 08 Oct 2023
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing Qiulei Wang Lei Yan Gang Hu Wenli Chen Jean Rabault B. R. Noack AI4CE 23 24 0 05 Jul 2023
Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you need Colin Vignon Jean Rabault Joel Vasanth Francisco Alcántara-Ávila M. Mortensen Ricardo Vinuesa AI4CE 23 39 0 05 Apr 2023
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs Stefan Werner Sebastian Peitz 41 9 0 14 Feb 2023
Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning Alec J. Linot Kevin Zeng M. Graham AI4CE 16 19 0 28 Jan 2023
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics Cooper Lorsung A. Farimani AI4CE 26 0 0 02 Dec 2022
Learning swimming via deep reinforcement learning Jin Zhang Lei Zhou Bochao Cao 15 1 0 22 Sep 2022
Comparative analysis of machine learning methods for active flow control F. Pino Lorenzo Schena Jean Rabault M. A. Mendez 28 43 0 23 Feb 2022
Classifying Turbulent Environments via Machine Learning M. Buzzicotti F. Bonaccorso 26 0 0 03 Jan 2022
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control Xin-Yang Liu Jian-Xun Wang AI4CE 25 38 0 31 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
Automating Turbulence Modeling by Multi-Agent Reinforcement Learning G. Novati Hugues Lascombes de Laroussilhe Petros Koumoutsakos AI4CE 26 15 0 18 May 2020
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,234 0 30 Nov 2018
Flow Navigation by Smart Microswimmers via Reinforcement Learning S. Colabrese K. Gustavsson A. Celani Luca Biferale 33 156 0 30 Jan 2017