Sophie Broderick

Learning to Perceive the World Through Control: Empowerment-Based Representation Learning

In many practical reinforcement learning (RL) environments, observations are far higher-dimensional than the variables that matter for control. In this work, we ask: can we learn representations that capture only control-relevant features of the environment? We study this question through the \emph{…