Inverse Constraint Learning and Generalization by Transferable Reward Decomposition

Jaehwi Jang, Minjae Song, Daehyung Park

We present the problem of inverse constraint learning (ICL), which recovers constraints from demonstrations to autonomously reproduce constrained skills in new scenarios. However,…