Bayesian Method for Constraint Inference from User Demonstrations Based on Preference Models

The authors propose a novel Bayesian method that infers constraints based on preferences over demonstrations, offering advantages such as inferring constraints without recalculating policies and adapting to varying levels of constraint violation.