 In this work, given a reward function and a set of demonstrations from an expert that maximizes this reward function while respectingunknown constraints , we propose a framework to learn the most likely constraints that the expert respects.
<coherence>  In this work, given a reward function and a set of demonstrations from an expert that maximizes this reward function while respectingunknown constraints , we propose a framework to learn the most likely constraints that the expert respects.
 In this work, unknown constraints , we propose a framework to learn the most likely constraints that the expert respects.