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Representations are crucial for a robot to learn effective navigation policies. Recent work has shown that mid-level perceptual abstractions, such as depth estimates or 2D semantic segmentation, lead to more effective policies when provided as observ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a38632f6684481f94aa7d45f33c66a6
http://arxiv.org/abs/2108.01176
http://arxiv.org/abs/2108.01176
