Masked Contrastive Representation Learning for Reinforcement Learning

15 Oct 2020 Jinhua Zhu Yingce Xia Lijun Wu Jiajun Deng Wengang Zhou Tao Qin Houqiang Li

Improving sample efficiency is a key research problem in reinforcement learning (RL), and CURL, which uses contrastive learning to extract high-level features from raw pixels of individual video frames, is an efficient algorithm~\citep{srinivas2020curl}. We observe that consecutive video frames in a game are highly correlated but CURL deals with them independently... (read more)

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