Masked Contrastive Representation Learning for Reinforcement Learning
In pixel-based reinforcement learning (RL), the states are raw video frames, which are mapped into hidden representation before feeding to a policy network. To improve sample efficiency of state representation learning, recently, the most prominent work is based on contrastive unsupervised represent...
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Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence 2023-03, Vol.45 (3), p.3421-3433 |
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