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,…