Control What You Can: Intrinsically Motivated Task-Planning Agent

The Control What You Can (CWYC) method learns to control components of the environment to achieve multi-step goals by combining task planning with surprise and learning progress based intrinsic motivation.

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

A large scale, comprehensive study challenges various assumptions in learning disentangled representations, which motivates demonstrating concrete benefits in robust experimental setups in future work.

Compositional Video Prediction

Novel method for video prediction from a single frame by decomposing the scene into entities with location and appearance features, capturing ambiguities with a global latent variable.