14 citations · 38 across the 5 of their papers we have counts for
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cs.RO2020★ 14 cited
Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation
Albert Zhan, Ruihan Zhao, Lerrel Pinto +2
Recent advances in unsupervised representation learning significantly improved the sample efficiency of training Reinforcement Learning policies in simulated environments. However,…
cs.LG2020★ 4 cited
Preventing Imitation Learning with Adversarial Policy Ensembles
Albert Zhan, Stas Tiomkin, Pieter Abbeel
Imitation learning can reproduce policies by observing experts, which poses a problem regarding policy privacy. Policies, such as human, or policies on deployed robots, can all be…