5 citations · 6 across the 4 of their papers we have counts for
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eess.SY2021
Learning-Based Nonlinear Control via Game-Theoretic Differential Dynamic Programming
Wei Sun, Theodore B. Trafalis
In this work, we present a learning-based nonlinear control algorithm that guarantee system performance under learned dynamics and disturbance estimate. The Gaussian Pro…
cs.LG2021
Optimizing Data Augmentation Policy Through Random Unidimensional Search
Xiaomeng Dong, Michael Potter, Gaurav Kumar +3
It is no secret amongst deep learning researchers that finding the optimal data augmentation strategy during training can mean the difference between state-of-the-art performance a…