Privileged Information Dropout in Reinforcement Learning

19 May 2020Pierre-Alexandre KamiennyKai ArulkumaranFeryal BehbahaniWendelin BoehmerShimon Whiteson

Using privileged information during training can improve the sample efficiency and performance of machine learning systems. This paradigm has been applied to reinforcement learning (RL), primarily in the form of distillation or auxiliary tasks, and less commonly in the form of augmenting the inputs of agents... (read more)

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