Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment
By F. Muratore, Felix Treede, Michael Gienger, Jan Peters. 2018
61 citations recorded by the source corpus.
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- Sergey Levine
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- Nathan D. Ratliff
Citations in the corpus
- Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience (2018, methodology): “In [24], an upper confidence bound on the estimated simulation optimization bias is used as a stopping criterion for a robust training with domain randomization.”