joelpaulson

ADCHEM_ML_MPC_Workshop_2021

Code associated with the ADCHEM 2021 Workshop on Machine Learning and Model Predictive Control

COBALT

Constrained Bayesian Optimization of Computationally Expensive Grey-Box (Hybrid First-Principles and Data-Driven) Models

DYCOPS22_ML_MPC_Workshop

Code associated with the DYCOPS 2022 Workshop on Exploiting Machine Learning Methods for Approximation and Design of Model Predictive Control

Great_Lakes_PSE_Workshop_2023

Code and slides associated with Great Lakes PSE Student Workshop held in April 2023

LCSS_DataDrivenScenarioOptimization

This is the code used to generate the results in a recent paper titled "Data-Driven Scenario Optimization for Automated Controller Tuning with Probabilistic Performance Guarantees"

nsPCE

pykcenter

Python package for globally solving the kcenter clustering problem

TorchSISSO

PiratesOpt

joelpaulson/ADCHEM_ML_MPC_Workshop_2021

Code associated with the ADCHEM 2021 Workshop on Machine Learning and Model Predictive Control

joelpaulson/Great_Lakes_PSE_Workshop_2023

Code and slides associated with Great Lakes PSE Student Workshop held in April 2023

joelpaulson/LCSS_DataDrivenScenarioOptimization

This is the code used to generate the results in a recent paper titled "Data-Driven Scenario Optimization for Automated Controller Tuning with Probabilistic Performance Guarantees"

joelpaulson/COBALT

Constrained Bayesian Optimization of Computationally Expensive Grey-Box (Hybrid First-Principles and Data-Driven) Models

joelpaulson/DYCOPS22_ML_MPC_Workshop

Code associated with the DYCOPS 2022 Workshop on Exploiting Machine Learning Methods for Approximation and Design of Model Predictive Control

joelpaulson/nsPCE

joelpaulson/pykcenter

Python package for globally solving the kcenter clustering problem