SAPL: Safe Active Preference Learning

This repository contains the source code and experiments for the Safe Active Preference Learning (SAPL) framework with Signal Temporal Logic.

The SAPL framework is designed to perform active preference learning within safe behaviors. It leverages Signal Temporal Logic to ensure safety during the learning process. This repository includes the source code, empirical experiments, and tools for conducting human subject studies.