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20192021
most citedBayesSim: adaptive domain randomization via probabilistic inference for robotics simulators

1 citations · 2 across the 2 of their papers we have counts for

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cs.RO2021★ 1 cited

BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym

Rika Antonova, Fabio Ramos, Rafael Possas +1

BayesSim is a statistical technique for domain randomization in reinforcement learning based on likelihood-free inference of simulation parameters. This paper outlines BayesSimIG:…