Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations
An analysis of linear models, linear value-function approximation, and feature selection for reinforcement learning