Optimal Parallelization Strategies for Active Flow Control in Deep Reinforcement Learning-Based Computational Fluid Dynamics

18 February 2024

Papers citing "Optimal Parallelization Strategies for Active Flow Control in Deep Reinforcement Learning-Based Computational Fluid Dynamics"

10 / 10 papers shown

Title
Deep Reinforcement Learning for Computational Fluid Dynamics on HPC Systems Marius Kurz Philipp Offenhäuser Dominic Viola Oleksandr Shcherbakov Michael M. Resch Andrea Beck AI4CE 68 22 0 13 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 57 345 0 02 May 2022
Comparative analysis of machine learning methods for active flow control F. Pino Lorenzo Schena Jean Rabault M. A. Mendez 56 44 0 23 Feb 2022
Controlling Rayleigh-Bénard convection via Reinforcement Learning Gerben Beintema Alessandro Corbetta Luca Biferale F. Toschi AI4CE 59 79 0 31 Mar 2020
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 126 1,254 0 30 Nov 2018
Efficient collective swimming by harnessing vortices through deep reinforcement learning S. Verma G. Novati Petros Koumoutsakos 46 363 0 07 Feb 2018
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 120 2,805 0 19 Aug 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 444 18,931 0 20 Jul 2017
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 197 936 0 07 Jul 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 152 1,530 0 25 Jan 2017