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
Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion