Notable AIINT arXiv cs.AI

Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents

arXiv:2609.37810v1 Announce Type: cross Abstract: Vision-language-action and world-action models have demonstrated impressive capabilities in robotics, yet generalization to unseen tasks remains challenging. More recently, general-purpose…

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ImpactNotable 31/100
Why it mattersRule-based estimate: event keywords (+4); trust 6/10.
RegionsGlobal
Published1 h ago (Wed, 30 Sep 2026 04:00:00 GMT)
RetrievedWed, 30 Sep 2026 04:00:56 GMT via rss
ClassifiedWed, 30 Sep 2026 04:01:19 GMT by heuristic
AuthorSicheng Xie, Yitong Chen, Haidong Cao, Shunlin Lu, Zuxuan Wu, Yu-Gang Jiang