How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement Learning

23 April 2023

Papers citing "How to Control Hydrodynamic Force on Fluidic Pinball via Deep Reinforcement Learning"

6 / 6 papers shown

Title
Multimodal Policies with Physics-informed Representations Haodong Feng Peiyan Hu Yue Wang Dixia Fan PINN AI4CE 23 0 0 20 Oct 2024
Efficient Navigation of a Robotic Fish Swimming Across the Vortical Flow Field Haodong Feng Dehan Yuan Jiale Miao Jie You Yue Wang Yi Zhu Dixia Fan 48 2 0 23 May 2024
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 37 10 0 08 Oct 2023
Comparative analysis of machine learning methods for active flow control F. Pino Lorenzo Schena Jean Rabault M. A. Mendez 34 43 0 23 Feb 2022
Applying Machine Learning to Study Fluid Mechanics Steven L. Brunton PINN AI4CE 44 96 0 05 Oct 2021
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles S. Aradi 215 437 0 30 Jan 2020