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Darwin Mobile Agent: A Roadmap for Self-Evolution

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arXiv:2606. 20622v1 Announce Type: new Abstract: The goal of artificial intelligence is to create agents capable of general, adaptive behaviour in open-ended environments.

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Authors: Daniel Beechey, Derek Yuen, Jianheng Liu, Dezhao Luo, Tiantian He, Weilin Luo, Jun Wang, Kun Shao
Released: 2026-06-23 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because Darwin Mobile Agent: A Roadmap for Self-Evolution overlaps with clean result "Training one persona to emit a [ZLT] marker without bystanders adopting it has a one-cell-wide LR x epochs window on Qwen2.5-7B-Instruct (LOW confidence)", experiment "#351 follow-up: broader-vocab position-0 sweep at T=1.0 + position-1 suffix isolation". Matching terms: source, stage. Source: arxiv cs.AI (Artificial Intelligence).
arXiv: 2606.20622

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