Panagiotis Petsagkourakis

(373z) Two-Stage Reinforcement Learning for Batch Bioprocess Optimization Under Uncertainty

Michail Stamatakis

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(687c) Hybrid Optimisation of Flow Reactor Performance: A Combined Mechanistic and Data-Driven Approach Using Model-Based Design of Experiments and Gaussian Processes

Dongda Zhang

Eric Bradford

2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

(3gs) Data-Driven Uncertainty Aware Optimal Design

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(522h) Constrained Reinforcement Learning for Process Optimization and Control

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

Ilya Orson Sandoval Cardenas

Eric Bradford

Dongda Zhang

(522f) Integration of Control with Process Operation through Reinforcement Learning

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

Vassilis Charitopoulos

(745b) Improved Modifier-Adaptation Schemes Using Gaussian Processes for Real-Time Optimization

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

(476f) Digitalizing the Process Industries Via Surrogate Optimization

Benoit Chachuat

2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

Damien van de Berg

(346n) Reinforcement Learning with Neural Feedback Policies

Nilay Shah

Tom Savage

Damien van de Berg

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

Ilya Orson Sandoval Cárdenas

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(558h) Safe Real-Time Optimization Using Multi-Fidelity Gaussian Processes

Benoit Chachuat

(475a) Multi-Objective Optimization Experimental Design Using a Exploration-Exploitation Trade-Off

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(475b) Multi-Objective Bayesian Optimization of Process Flowsheets Using Trust Regions and Quality Set Metrics.

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

Edgar Ivan Sanchez Medina

Kai Sundmacher

Daniel F. Rodriguez-Vallejo

2021 Annual Meeting (ISBN: 978-0-8169-1116-5)

(624b) Data-Driven Coordination in Enterprise-Wide Optimization

Damien van de Berg

Nilay Shah