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A Meta-Reinforcement Learning Approach to Process Control

A Meta-Reinforcement Learning Approach to Process Control

25 March 2021
Daniel G. McClement
Nathan P. Lawrence
Philip D. Loewen
M. Forbes
Johan U. Backstrom
R. Bhushan Gopaluni
ArXiv (abs)PDFHTML

Papers citing "A Meta-Reinforcement Learning Approach to Process Control"

5 / 5 papers shown
Title
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems
GreenLight-Gym: Reinforcement learning benchmark environment for control of greenhouse production systems
Bart van Laatum
Eldert J. van Henten
Sjoerd Boersma
OffRL
89
0
0
06 Oct 2024
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems
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
73
1
0
19 Sep 2022
Meta-Reinforcement Learning for the Tuning of PI Controllers: An Offline
  Approach
Meta-Reinforcement Learning for the Tuning of PI Controllers: An Offline Approach
Daniel G. McClement
Nathan P. Lawrence
Johan U. Backstrom
Philip D. Loewen
M. Forbes
R. Bhushan Gopaluni
OffRL
64
25
0
17 Mar 2022
Deep Reinforcement Learning with Shallow Controllers: An Experimental
  Application to PID Tuning
Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning
Nathan P. Lawrence
M. Forbes
Philip D. Loewen
Daniel G. McClement
Johan U. Backstrom
R. Bhushan Gopaluni
OffRL
41
77
0
13 Nov 2021
Safe Chance Constrained Reinforcement Learning for Batch Process Control
Safe Chance Constrained Reinforcement Learning for Batch Process Control
M. Mowbray
Panagiotis Petsagkourakis
Ehecatl Antonio del Rio Chanona
Dongda Zhang
OffRL
62
36
0
23 Apr 2021
1