Dimitris Papadimitriou

Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models

It is crucial for robots to be aware of the presence of constraints in order to acquire safe policies. However, explicitly specifying all constraints in an environment can be a challenging task. State-of-the-art constraint inference algorithms learn constraints from demonstrations, but tend to be co…