Autoencoder

A neural network trained to compress input data into a low-dimensional latent representation (encoder) and reconstruct the original data from this representation (decoder). Variational autoencoders (VAEs) add a probabilistic structure to the latent space. In robotics, autoencoders learn compact state representations from high-dimensional observations for efficient policy learning.