Inverse Bayesian Optimization: Learning Human Acquisition Functions in an Exploration vs Exploitation Search Task

1 code implementation • 16 Apr 2021 • Nathan Sandholtz, Yohsuke Miyamoto, Luke Bornn, Maurice Smith

This paper introduces a probabilistic framework to estimate parameters of an acquisition function given observed human behavior that can be modeled as a collection of sample paths from a Bayesian optimization procedure.

Bayesian Optimization