Department of Computer Science, TU Darmstadt; Department of Physics and Astronomy, Heidelberg University
self-supervised learning;probabilistic deep learning;structured models;video prediction;physics prediction;planning;variational auteoncoders;model-based reinforcement learning;VAEs;unsupervised;variational;graph neural networks;tractable probabilistic models;attend-infer-repeat;relational learning;AIR;sum-product networks;object-oriented;object-centric;object-aware;MCTS
Structured Object-Aware Physics Prediction for Video Modeling and Planning