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Toward self‐driving processes: A deep reinforcement learning approach to control

AIChE journal, 2019-10, Vol.65 (10), p.n/a

2019

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Isolation of Mitochondria from Cell Cultures by PCT for Proteomic Analysis

BioTechniques, 2008-07, Vol.45 (1), p.99-100

2008

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Erratum to: Pressure cycling technology (PCT) reduces effects of inhibitors of the PCR

International journal of legal medicine, 2014-11, Vol.128 (6), p.1067-1068

2014

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Pressure cycling technology (PCT) reduces effects of inhibitors of the PCR

International journal of legal medicine, 2013-03, Vol.127 (2), p.321-333

2013

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Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system

Applied energy, 2023-03, Vol.333, p.120633, Article 120633

2023

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Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior

Automatica (Oxford), 2024-06, Vol.164, p.111642, Article 111642

2024

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Deep reinforcement learning with shallow controllers: An experimental application to PID tuning

Control engineering practice, 2022-04, Vol.121, p.105046, Article 105046

2022

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Machine learning for industrial sensing and control: A survey and practical perspective

Control engineering practice, 2024-04, Vol.145, p.105841, Article 105841

2024

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Meta-reinforcement learning for the tuning of PI controllers: An offline approach

Journal of process control, 2022-10, Vol.118, p.139-152

2022

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Simultaneous Reduction and Alkylation of Protein Disulfides in a Centrifugal Ultrafiltration Device Prior to Two-Dimensional Gel Electrophoresis

Journal of proteome research, 2006-04, Vol.5 (4), p.983-987

2006

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Improved extraction of Rhizoctonia and Pythium DNA from wheat roots and soil samples using pressure cycling technology

Canadian journal of plant pathology, 2007-09, Vol.29 (3), p.304-310

2007

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Meta-Reinforcement Learning for Adaptive Control of Second Order Systems

2022 IEEE International Symposium on Advanced Control of Industrial Processes (AdCONIP), 2022, p.78-83

2022

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Increased protein yields from Escherichia coli using pressure-cycling technology

Journal of biomolecular techniques, 2006-04, Vol.17 (2), p.173-175

2006

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Reinforcement Learning with Partial Parametric Model Knowledge

IFAC-PapersOnLine, 2023, Vol.56 (2), p.8012-8017

2023

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A modular framework for stabilizing deep reinforcement learning control

IFAC-PapersOnLine, 2023, Vol.56 (2), p.8006-8011

2023

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Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem

IFAC-PapersOnLine, 2020, Vol.53 (2), p.236-241

2020

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Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey

IFAC-PapersOnLine, 2020, Vol.53 (2), p.218-229

2020

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Reinforcement Learning based Design of Linear Fixed Structure Controllers

IFAC-PapersOnLine, 2020, Vol.53 (2), p.230-235

2020

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A Meta-Reinforcement Learning Approach to Process Control

IFAC-PapersOnLine, 2021, Vol.54 (3), p.685-692

2021

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Site-directed mutagenesis of M1 RNA, the RNA subunit of Escherichia coli ribonuclease P

Journal of molecular biology, 1986-09, Vol.191 (2), p.163-175

1986

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Site-directed mutagenesis of M1 RNA, the RNA subunit of Escherichia coli ribonuclease P : The effects of an addition and small deletions on catalytic function

Journal of molecular biology, 1986-09, Vol.191 (2), p.163-175

1986

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Heterologous Enzyme Function in Escherichia coli and the Selection of Genes Encoding the Catalytic RNA Subunit of RNase P

Proceedings of the National Academy of Sciences - PNAS, 1987-10, Vol.84 (19), p.6825-6829

1987

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A STUDY OF THE SECONDARY STRUCTURE OF M1 RNA (THE CATALYTIC SUBUNIT OF ESCHERICHIA COLI RNASE P)

LAWRENCE, NATHAN P

1986

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Newly Named Klebsiella aerogenes (formerly Enterobacter aerogenes) Is Associated with Poor Clinical Outcomes Relative to Other Enterobacter Species in Patients with Bloodstream Infection

Journal of clinical microbiology, 2020-08, Vol.58 (9)

2020

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Effective Detection of Mycotoxins by a Highly Luminescent Metal–Organic Framework

Journal of the American Chemical Society, 2015-12, Vol.137 (51), p.16209-16215

2015

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Toward self‐driving processes: A deep reinforcement learning approach to control

Isolation of Mitochondria from Cell Cultures by PCT for Proteomic Analysis

Erratum to: Pressure cycling technology (PCT) reduces effects of inhibitors of the PCR

Pressure cycling technology (PCT) reduces effects of inhibitors of the PCR

Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system

Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior

Deep reinforcement learning with shallow controllers: An experimental application to PID tuning

Machine learning for industrial sensing and control: A survey and practical perspective

Meta-reinforcement learning for the tuning of PI controllers: An offline approach

Simultaneous Reduction and Alkylation of Protein Disulfides in a Centrifugal Ultrafiltration Device Prior to Two-Dimensional Gel Electrophoresis

Improved extraction of Rhizoctonia and Pythium DNA from wheat roots and soil samples using pressure cycling technology

Meta-Reinforcement Learning for Adaptive Control of Second Order Systems

Increased protein yields from Escherichia coli using pressure-cycling technology

Reinforcement Learning with Partial Parametric Model Knowledge

A modular framework for stabilizing deep reinforcement learning control

Optimal PID and Antiwindup Control Design as a Reinforcement Learning Problem

Modern Machine Learning Tools for Monitoring and Control of Industrial Processes: A Survey

Reinforcement Learning based Design of Linear Fixed Structure Controllers

A Meta-Reinforcement Learning Approach to Process Control

Site-directed mutagenesis of M1 RNA, the RNA subunit of Escherichia coli ribonuclease P

Site-directed mutagenesis of M1 RNA, the RNA subunit of Escherichia coli ribonuclease P : The effects of an addition and small deletions on catalytic function

Heterologous Enzyme Function in Escherichia coli and the Selection of Genes Encoding the Catalytic RNA Subunit of RNase P

A STUDY OF THE SECONDARY STRUCTURE OF M1 RNA (THE CATALYTIC SUBUNIT OF ESCHERICHIA COLI RNASE P)

Newly Named Klebsiella aerogenes (formerly Enterobacter aerogenes) Is Associated with Poor Clinical Outcomes Relative to Other Enterobacter Species in Patients with Bloodstream Infection

Effective Detection of Mycotoxins by a Highly Luminescent Metal–Organic Framework

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