Construct · 1 fields · 1 citations

domain randomization: a standalone construct

One name. One construct. A landmark on the map.

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domainrandomization1 CONSTRUCTDomain randomizationTOBIN · REINFORCEMENT LEARNING

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Reinforcement learning (machine learning)

training on simulations with heavily randomized appearance and physics so that the real world looks like one more variation, aiding sim-to-real transfer.

In reinforcement learning (machine learning), domain randomization refers to training on simulations with heavily randomized appearance and physics so that the real world looks like one more variation, aiding sim-to-real transfer. This meaning comes from Tobin (2017) in arXiv.[1]

Unit
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Nearby constructs

domain3 fields · 4 citationsjingle · one word, three constructslearning6 fields · 14 citationsjingle · one name, six constructsreinforcement2 fields · 4 citationsjingle · one word, two constructs

References

  1. Tobin, J., Fong, R., Ray, A., Schneider, J., Zaremba, W., & Abbeel, P. (2017). Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World. arXiv. https://doi.org/10.48550/arxiv.1703.06907

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