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Deep Reinforcement Learning with Shallow Controllers: An Experimental
  Application to PID Tuning

Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning

13 November 2021
Nathan P. Lawrence
M. Forbes
Philip D. Loewen
Daniel G. McClement
Johan U. Backstrom
R. Bhushan Gopaluni
    OffRL
ArXivPDFHTML

Papers citing "Deep Reinforcement Learning with Shallow Controllers: An Experimental Application to PID Tuning"

6 / 6 papers shown
Title
Generative AI and Process Systems Engineering: The Next Frontier
Generative AI and Process Systems Engineering: The Next Frontier
Benjamin Decardi-Nelson
Abdulelah S. Alshehri
Akshay Ajagekar
Fengqi You
AI4CE
LLMAG
29
24
0
15 Feb 2024
Self-Tuning PID Control via a Hybrid Actor-Critic-Based Neural Structure
  for Quadcopter Control
Self-Tuning PID Control via a Hybrid Actor-Critic-Based Neural Structure for Quadcopter Control
Iman Sharifi
A. Alasty
13
0
0
03 Jul 2023
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
15
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
13
22
0
17 Mar 2022
Distributional Reinforcement Learning for Scheduling of Chemical
  Production Processes
Distributional Reinforcement Learning for Scheduling of Chemical Production Processes
M. Mowbray
Dongda Zhang
Ehecatl Antonio del Rio Chanona
OffRL
22
6
0
01 Mar 2022
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
1