Reinforcement Learning for Task Specifications with Action-Constraints

Arun Raman, Keerthan Shagrithaya, Shalabh Bhatnagar

In this paper, we use concepts from supervisory control theory of discrete event systems to propose a method to learn optimal control policies for a finite-state Markov Decision Pr…