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Learning to Poke by Poking: Experiential Learning of Intuitive Physics

NeurIPS 2016 · Probabilistic and scientific modeling › Dynamical systems · approach: Latent-space control and planning · 275 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add a forward-dynamics objective to the inverse model (ablation)Inverse-only model · Real-robot long-distance displacementgeneralization performanceHelped
Add a forward-dynamics objective to the inverse model (ablation)Inverse-only model · Real-robot object displacementpose errorHelped
Use learned object-interaction features and dynamics instead of the blob model's location-only ruleBlob model · Real-robot object displacementpose errorHelped
Add a forward-dynamics objective to the inverse model (ablation)Inverse-only model · 2-D simulation, 10K training examplesactions to reach goalHelped
Add a forward-dynamics objective to the inverse model (ablation)Inverse-only model · 2-D simulation, 20K training examplesactions to reach goalHelped
Add a forward-dynamics objective to the inverse model (ablation)Inverse-only model · 2-D simulation, 100K training examplesactions to reach goalNo clear effect
Use greedy planning to move an object around an obstacleJoint model · Real-robot obstacle avoidancesuccessful obstacle avoidanceHurt
Apply the learned model to objects with novel geometry and textureJoint model · Real-robot object displacementgoal displacementHelped

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