Preferential Bayesian Optimization (PBO)

2024
Decision MakingMachine LearningData Analysis
Preferential Bayesian Optimization (PBO)

Overview

Using Bosch real-world data, I developed and tested PBO algorithms to optimize machinery settings for expert operators efficiently. This involved modeling human preferences in decision-making processes and identifying cognitive biases for future human-in-the-loop experiments. For more information and results, please refer to the research project paper!

Technologies Used

PythonBoTorch

Project Details

Year

2024

Status

Completed

Links