Sequential Action-Induced Invariant Representation for Reinforcement Learning
The researchers at Xiamen University propose a Sequential Action induced invariant Representation (SAR) method to accurately learn task-relevant state representations from high-dimensional observations with visual distractions. This is a challenging…
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