316 citations · 482 across the 11 of their papers we have counts for
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cs.LG2019
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments
Evan Racah, Christopher Pal
Self-supervised methods, wherein an agent learns representations solely by observing the results of its actions, become crucial in environments which do not provide a dense reward…
cs.LG2019★ 26 cited
Unsupervised State Representation Learning in Atari
Ankesh Anand, Evan Racah, Sherjil Ozair +3
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…