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cs.LG2022
Learning Less Generalizable Patterns with an Asymmetrically Trained Double Classifier for Better Test-Time Adaptation
Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall +2
Deep neural networks often fail to generalize outside of their training distribution, in particular when only a single data domain is available during training. While test-time ada…
cs.LG2022★ 1 cited
Cell-Free Latent Go-Explore
Quentin Gallouédec, Emmanuel Dellandréa
In this paper, we introduce Latent Go-Explore (LGE), a simple and general approach based on the Go-Explore paradigm for exploration in reinforcement learning (RL). Go-Explore was i…