Offline Reinforcement Learning via Inverse Optimization

Ioannis Dimanidis, Tolga Ok, Peyman Mohajerin Esfahani

Inspired by the recent successes of Inverse Optimization (IO) across various application domains, we propose a novel offline Reinforcement Learning (ORL) algorithm for continuous s…