Before revision:  We prove that an optimal policy can be learned over this model-invariance state abstraction  . Next, we propose a practical method to approximately learn a model-invariant representation for complex domains .
After revision:  We prove that an optimal policy can be learned over this model-invariance state abstraction and show improved generalization in a simple toy domain . Next, we propose a practical method to approximately learn a model-invariant representation for complex domains .