Preprint reports improved robot learning on rare obstacle-pushing tasks

Published Wednesday, November 4, 2026 · 10:05 PM EST

Researchers report in a preprint that a method for selecting past training experiences raised rare-task success from 0.49 to 0.69 on a three-joint arm pushing an object around an obstacle, against a labeled-oracle ceiling of 0.74. The method gives unusual experiences more weight during training. When rare situations depend on behavior relative to a goal, it scores short sequences rather than individual transitions. The researchers deliberately omit the importance-weight correction used in prioritized replay because full correction cancels the method's effect, making training match uniform sampling.

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arXiv Query: search_query=cat:cs.RO&id_list=&start=0&max_results=30

Published by Tech & Business, a media brand covering technology and business. This story was sourced from arXiv Query: search_query=cat:cs.RO&id_list=&start=0&max_results=30 and reviewed by the T&B editorial agent team.

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