Controlling Rayleigh-Bénard convection via Reinforcement Learning

Controlling Rayleigh-Bénard convection via Reinforcement Learning

31 March 2020

Gerben Beintema

Alessandro Corbetta

Papers citing "Controlling Rayleigh-Bénard convection via Reinforcement Learning"

19 / 19 papers shown

Title
Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime Thorben Markmann Michiel Straat Sebastian Peitz Barbara Hammer AI4CE 38 0 0 16 Apr 2025
Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection Mirko Conrad Jean Rabault Francisco Alcántara-Ávila Mikael Mortensen Ricardo Vinuesa AI4CE 35 3 0 31 Jul 2024
Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Bénard Convection Thorben Markmann Michiel Straat Barbara Hammer AI4CE 30 3 0 10 May 2024
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies N. Botteghi Urban Fasel AI4CE 49 6 0 22 Mar 2024
Optimal Parallelization Strategies for Active Flow Control in Deep Reinforcement Learning-Based Computational Fluid Dynamics Wang Jia Hang Xu AI4CE 40 4 0 18 Feb 2024
Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive Performance in Fin Ray Control Xin-Yang Liu Dariush Bodaghi Q. Xue Xudong Zheng Jian-Xun Wang 33 0 0 21 Jan 2024
Genetically-inspired convective heat transfer enhancement in a turbulent boundary layer R. Castellanos A. Ianiro S. Discetti AI4CE 20 2 0 25 Apr 2023
Parallel bootstrap-based on-policy deep reinforcement learning for continuous flow control applications J. Viquerat E. Hachem 16 2 0 24 Apr 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
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning Kevin Zeng Alec J. Linot M. Graham AI4CE 20 28 0 01 May 2022
Comparative analysis of machine learning methods for active flow control F. Pino Lorenzo Schena Jean Rabault M. A. Mendez 26 43 0 23 Feb 2022
Multi-fidelity reinforcement learning framework for shape optimization Sahil Bhola Suraj Pawar Prasanna Balaprakash R. Maulik AI4CE 11 20 0 22 Feb 2022
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control Xin-Yang Liu Jian-Xun Wang AI4CE 23 38 0 31 Jul 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution Omer San Adil Rasheed T. Kvamsdal 48 50 0 26 Mar 2021
Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning Francis Ogoke A. Farimani AI4CE 11 70 0 29 Jan 2021
Using machine-learning modelling to understand macroscopic dynamics in a system of coupled maps Francesco Borra Marco Baldovin AI4CE 17 2 0 08 Nov 2020
Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows Hamidreza Eivazi H. Veisi M. H. Naderi V. Esfahanian AI4CE 23 167 0 02 Jul 2020
A review on Deep Reinforcement Learning for Fluid Mechanics Paul Garnier J. Viquerat Jean Rabault A. Larcher A. Kuhnle E. Hachem AI4CE 16 253 0 12 Aug 2019
Flow Navigation by Smart Microswimmers via Reinforcement Learning S. Colabrese K. Gustavsson A. Celani Luca Biferale 31 156 0 30 Jan 2017