Generalization over Environments in Reinforcement Learning

Abstract

In this paper we discuss the problem of reinforcement learning in one environment and applying the policy obtained to other environments. We first state a method to evaluate the utility of a policy. We then propose a general model to apply one policy to different environments and compare them. To illustrate the theory we present examples for an obstacle avoidance behavior in various block world environments.