Learning to Perform Physics Experiments via Deep Reinforcement Learning

international conference on learning representations, 2017.

Cited by: 62|Views137
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Abstract:

When encountering novel objects, humans are able to infer a wide range of physical properties such as mass, friction and deformability by interacting with them in a goal driven way. This process of active interaction is in the same spirit as a scientist performing experiments to discover hidden facts. Recent advances in artificial intelli...More

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