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
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations