Deconfounding Reinforcement Learning in Observational Settings

Chaochao Lu, Bernhard Schölkopf, José Miguel Hernández-Lobato

We propose a general formulation for addressing reinforcement learning (RL) problems in settings with observational data. That is, we consider the problem of learning good policies…