Corpus ID: 28326841

Self-Supervised Visual Planning with Temporal Skip Connections

  title={Self-Supervised Visual Planning with Temporal Skip Connections},
  author={Frederik Ebert and Chelsea Finn and Alex X. Lee and S. Levine},
  • Frederik Ebert, Chelsea Finn, +1 author S. Levine
  • Published in CoRL 2017
  • Engineering, Computer Science
  • In order to autonomously learn wide repertoires of complex skills, robots must be able to learn from their own autonomously collected data, without human supervision. One learning signal that is always available for autonomously collected data is prediction: if a robot can learn to predict the future, it can use this predictive model to take actions to produce desired outcomes, such as moving an object to a particular location. However, in complex open-world scenarios, designing a… CONTINUE READING
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