Meta-Reinforcement Learning for the Tuning of PI Controllers: An Offline Approach

17 March 2022

Papers citing "Meta-Reinforcement Learning for the Tuning of PI Controllers: An Offline Approach"

7 / 7 papers shown

Title
Scenario-based Thermal Management Parametrization Through Deep Reinforcement Learning Thomas Rudolf Philip Muhl Sören Hohmann Lutz Eckstein 29 0 0 04 Aug 2024
Machine learning for industrial sensing and control: A survey and practical perspective Nathan P. Lawrence S. Damarla Jong Woo Kim Aditya Tulsyan Faraz Amjad Kai Wang Benoît Chachuat Jong Min Lee Biao Huang R. Bhushan Gopaluni AI4CE 40 20 0 24 Jan 2024
ReACT: Reinforcement Learning for Controller Parametrization using B-Spline Geometries Thomas Rudolf Daniel Flögel Tobias Schürmann Simon Süß S. Schwab Sören Hohmann AI4CE 36 1 0 10 Jan 2024
Neural Operators for PDE Backstepping Control of First-Order Hyperbolic PIDE with Recycle and Delay Jie Qi Jing Zhang Miroslav Krstic 39 14 0 21 Jul 2023
Reinforcement Learning with Partial Parametric Model Knowledge Shuyuan Wang Philip D. Loewen Nathan P. Lawrence M. Forbes R. Bhushan Gopaluni KELM 16 0 0 26 Apr 2023
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems Daniel G. McClement Nathan P. Lawrence M. Forbes Philip D. Loewen Johan U. Backstrom R. Bhushan Gopaluni OffRL 15 1 0 19 Sep 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 353 11,684 0 09 Mar 2017