Piot retweeted
Bootstrap Your Own Latent (BYOL) learns useful representations without explicit negative examples.
Our researchers show that it also works without using batch statistics at all, challenging the recent "implicit negatives from BatchNorm" hypothesis: bit.ly/2HCn2fI
Our researchers show that it also works without using batch statistics at all, challenging the recent "implicit negatives from BatchNorm" hypothesis: bit.ly/2HCn2fI
Moving away from negative pairs in self-supervised representation learning: our new SotA method, Bootstrap Your Own Latent (BYOL), narrows the gap between self-supervised & supervised methods simply by predicting previous versions of itself.
See here: bit.ly/30MCugQ
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Piot retweeted
Ape-X DQfD completes the first level on Montezuma's Revenge, which has proven challenging for deep RL. It extends DQN using demonstrations and modifications to handle high discount factors and varying reward distributions. arxiv.org/pdf/1805.11593…
Video: youtube.com/watch?v=-0xOdn…
Video: youtube.com/watch?v=-0xOdn…
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