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A review on Deep Reinforcement Learning for Fluid Mechanics

Computers & Fluids (Comput. Fluids), 2019

12 August 2019

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

39 / 39 papers shown

Active Control of Turbulent Airfoil Flows Using Adjoint-based Deep Learning

100

08 Oct 2025

Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number

Alana A. Bailey

Robert D. Guy

24 Jul 2025

Transfer learning-enhanced deep reinforcement learning for aerodynamic airfoil optimisation subject to structural constraintsThe Physics of Fluids (Phys. Fluids), 2025

375

05 May 2025

Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime

358

16 Apr 2025

SALSA-RL: Stability Analysis in the Latent Space of Actions for Reinforcement Learning

Xuyang Li

Romit Maulik

427

21 Feb 2025

Multi-modal Policies with Physics-informed Representations in Complex Fluid Environments

265

20 Oct 2024

Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order modelsComputer Methods in Applied Mechanics and Engineering (CMAME), 2024

245

09 Sep 2024

Enhancing Vehicle Aerodynamics with Deep Reinforcement Learning in Voxelised Models

Jignesh Patel

Yannis Spyridis

Vasileios Argyriou

182

19 May 2024

Mixing Artificial and Natural Intelligence: From Statistical Mechanics to AI and Back to Turbulence

Michael Chertkov

AI4CE

358

26 Mar 2024

Beacon, a lightweight deep reinforcement learning benchmark library for flow control

216

27 Feb 2024

Model-based deep reinforcement learning for accelerated learning from flow simulations

Andre Weiner

Janis Geise

AI4CE

288

26 Feb 2024

Reinforcement learning to maximise wind turbine energy generation

134

17 Feb 2024

Better Neural PDE Solvers Through Data-Free Mesh MoversInternational Conference on Learning Representations (ICLR), 2023

274

09 Dec 2023

Differentiable DG with Neural Operator Source Term Correction

Shinhoo Kang

Emil M. Constantinescu

AI4CE

405

29 Oct 2023

Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology

Xiao Xiang Zhu

868

08 Oct 2023

An unsupervised machine-learning-based shock sensor for high-order supersonic flow solvers

316

28 Jul 2023

Effective Latent Differential Equation Models via Attention and Multiple Shooting

German Abrevaya

Mahta Ramezanian-Panahi

Jean-Christophe Gagnon-Audet

311

11 Jul 2023

Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applicationsFluids (Fluids), 2023

J. Viquerat

E. Hachem

173

24 Apr 2023

Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you needThe Physics of Fluids (Phys. Fluids), 2023

Colin Vignon

Jean Rabault

Joel Vasanth

Francisco Alcántara-Ávila

M. Mortensen

Ricardo Vinuesa

AI4CE

237

05 Apr 2023

Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs

Stefan Werner

Sebastian Peitz

288

14 Feb 2023

Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learningInternational Journal of Heat and Fluid Flow (IJHFF), 2023

204

28 Jan 2023

Investigation of reinforcement learning for shape optimization of profile extrusion dies

23 Dec 2022

MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics

Cooper Lorsung

A. Farimani

AI4CE

156

02 Dec 2022

Learning swimming via deep reinforcement learning

Jin Zhang

Lei Zhou

Bochao Cao

323

22 Sep 2022

Unsupervised Representation Learning in Deep Reinforcement Learning: A Review

368

27 Aug 2022

Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systemsScientific Reports (Sci Rep), 2022

144

07 Jul 2022

Data-Driven Evaluation of Training Action Space for Reinforcement Learning

Rajat Ghosh

Debojyoti Dutta

121

08 Apr 2022

A Thermodynamics-informed Active Learning Approach to Perception and Reasoning about FluidsComputational Mechanics (Comput. Mech.), 2022

175

11 Mar 2022

Comparative analysis of machine learning methods for active flow controlJournal of Fluid Mechanics (JFM), 2022

333

23 Feb 2022

Multi-fidelity reinforcement learning framework for shape optimizationJournal of Computational Physics (JCP), 2022

134

22 Feb 2022

Machine Learning in Aerodynamic Shape OptimizationProgress in Aerospace Sciences (Prog. Aerosp. Sci.), 2022

347

262

15 Feb 2022

Classifying Turbulent Environments via Machine Learning

M. Buzzicotti

F. Bonaccorso

167

03 Jan 2022

Multi-condition multi-objective optimization using deep reinforcement learningJournal of Computational Physics (JCP), 2021

185

10 Oct 2021

Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic ControlProceedings of the Royal Society A (Proc. R. Soc. A), 2021

Xin-Yang Liu

Jian-Xun Wang

AI4CE

277

31 Jul 2021

Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research

267

07 Jul 2021

Learning Principle of Least Action with Reinforcement Learning

Zehao Jin

J. Lin

Siao-Fong Li

114

24 Nov 2020

Automating Turbulence Modeling by Multi-Agent Reinforcement Learning

G. Novati

Hugues Lascombes de Laroussilhe

Petros Koumoutsakos

AI4CE

248

18 May 2020

A physics-informed reinforcement learning approach for the interfacial area transport in two-phase flowSocial Science Research Network (SSRN), 2019

Z. Dang

M. Ishii

AI4CE

184

06 Aug 2019

Flow Navigation by Smart Microswimmers via Reinforcement LearningPhysical Review Letters (PRL), 2017

298

174

30 Jan 2017