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Unsupervised State Representation Learning in AtariEI
NeurIPS, pp. 8766-8779, 2019.
Keywords:mutual informationintelligent agents
State representation learning, or the ability to capture latent generative factors of an environment, is crucial for building intelligent agents that can perform a wide variety of tasks. Learning such representations without supervision from rewards is a challenging open problem. We introduce a method that learns state representations by ...More