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Steven Spielberg P
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Deep reinforcement learning approaches for process control
SPK Spielberg, RB Gopaluni, PD Loewen
2017 6th International Symposium on Advanced Control of Industrial Processes …, 2017
1842017
Toward self‐driving processes: A deep reinforcement learning approach to control
S Spielberg, A Tulsyan, NP Lawrence, PD Loewen, R Bhushan Gopaluni
AIChE journal 65 (10), e16689, 2019
1472019
A deep learning architecture for predictive control
SSP Kumar, A Tulsyan, B Gopaluni, P Loewen
IFAC-PapersOnLine 51 (18), 512-517, 2018
912018
Deep reinforcement learning for process control: A primer for beginners
S Spielberg, A Tulsyan, NP Lawrence, PD Loewen, RB Gopaluni
arXiv preprint arXiv:2004.05490, 2020
362020
Offset-free model predictive control with explicit performance specification
M Wallace, SS Pon Kumar, P Mhaskar
Industrial & Engineering Chemistry Research 55 (4), 995-1003, 2016
272016
FactStore: A distributed data version-control and collaborative system for Data Centric AI development
S Spielberg P, MM Rebecca Boyle
AMLC 2022, 2022
2022
Deep Reinforcement Learning for Model Predictive Control
SSP Bhushan Gopaluni, Siang Lim
AIChE Spring Meeting and Global Congress on Process Safety, Orlando, USA, 2018, 2018
2018
Recurrent Neural Networks II
PK Steven Spielberg, K Shen
https://www.stevenspielberg.me/projects/docs/rnn_fall2016.pdf, 2016
2016
GAUSSIAN COPULA MODELS
SS PK, K Shen
https://www.cs.ubc.ca/labs/lci/mlrg/slides/GaussianCopula_GraphicalModels.pdf, 2016
2016
Reinforcement Learning with Functional Approximation Using a Neural Network
SS P, S Sarkaria
2015
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