Conservative Offline Distributional Reinforcement Learning

Yecheng Jason Ma, Dinesh Jayaraman, Osbert Bastani

Many reinforcement learning (RL) problems in practice are offline, learning purely from observational data. A key challenge is how to ensure the learned policy is safe, which requi…