Charles Theurer

Spatiotemporal Representation Learning with GAN Trained LSTM-LSTM Networks

Learning robot behaviors in unstructured environments often requires handcrafting the features for a given task. In this paper, we present and evaluate an unsupervised representation learning architecture, Layered Spatiotemporal Memory Long Short-Term Memory (LSTM-LSTM), that learns the underlying r…