Dream-RSI: Recursive Self-Improvement through Evolving Worlds research paper by Google, 2026
Google · Sep 14, 2026 · Retrieval and data · 0 citations · 245 upvotes · unverified
What it shows
Dream-RSI enables scalable recursive self-improvement by using historical discovery replay to evaluate exploration policies offline, reducing costly online evaluations.
UnverifiedHugging Face's summary; not yet checked by hand.
More from Google
All 33Other retrieval and data papers
TopicAbout this paper
- Authors
- Tong Zheng, Xidong Wu, Zheng Zhang and 14 more
- arXiv
- 2609.14858 · PDF
- Citations
- 0, 0 influential · Semantic Scholar
- Upvotes
- 245 · Hugging Face
- Code
- github.com/zhengkid/Dream-RSI
- Lab
- Google · on Companies · on Acquisitions · on Paydays · on TechConf · on Releases
Changes
| What changed | |
|---|---|
| Sep 25, 2026 | Influential citationsfirst count: 0Sep 25, 2026 |
| Sep 25, 2026 | Citationsfirst count: 0Sep 25, 2026 |
| Sep 25, 2026 | New paperFound by the weekly scan, unverifiedSep 25, 2026 |
Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.