Learning Physical Intuition of Block Towers by Example

  title={Learning Physical Intuition of Block Towers by Example},
  author={Adam Lerer and Sam Gross and Rob Fergus},
Wooden blocks are a common toy for infants, allowing them to develop motor skills and gain intuition about the physical behavior of the world. In this paper, we explore the ability of deep feedforward models to learn such intuitive physics. Using a 3D game engine, we create small towers of wooden blocks whose stability is randomized and render them collapsing (or remaining upright). This data allows us to train large convolutional network models which can accurately predict the outcome, as well… CONTINUE READING
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