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

14 February 2023

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

6 / 6 papers shown

Title
Solving Partial Differential Equations with Equivariant Extreme Learning Machines Hans Harder Jean Rabault Ricardo Vinuesa Mikael Mortensen Sebastian Peitz 43 2 0 29 Apr 2024
Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms Xiangyuan Zhang Weichao Mao S. Mowlavi M. Benosman Tamer Basar OffRL AI4CE 24 2 0 30 Nov 2023
Taming Waves: A Physically-Interpretable Machine Learning Framework for Realizable Control of Wave Dynamics Tristan A. Shah Feruza A. Amirkulova Stas Tiomkin AI4CE 24 0 0 27 Nov 2023
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning Sebastian Peitz J. Stenner V. Chidananda Oliver Wallscheid Steven L. Brunton Kunihiko Taira AI4CE 19 18 0 25 Jan 2023
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,904 0 13 Jun 2015