Unsupervised Learning for Physical Interaction through Video Prediction

NeurIPS 2016 Chelsea FinnIan GoodfellowSergey Levine

A core challenge for an agent learning to interact with the world is to predict how its actions affect objects in its environment. Many existing methods for learning the dynamics of physical interactions require labeled object information... (read more)

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