Inverse Constrained Reinforcement Learning

Shehryar Malik, Usman Anwar, Alireza Aghasi, Ali Ahmed

Abstract: In real world settings, numerous constraints are present which are hard to specify mathematically. However, for the real world deployment of reinforcement learning (RL), it is critical that RL agen...