Unsupervised State Representation Learning in Atari

NeurIPS 2019 Ankesh AnandEvan RacahSherjil OzairYoshua BengioMarc-Alexandre CôtéR Devon Hjelm

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... (read more)

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