SIMLIFE: Pattern Understanding for Long-Horizon Human-Agent Partnership
This story is from 2026-09-18. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2609.19610v1 Announce Type: new Abstract: Understanding humans over long horizons requires agents to infer not only what people need in the moment, but also how routines form, why they repeat, and when they change. We introduce SimLife, a scalable platform for simulating long-term household l…
Read the full story at arXiv cs.AI ↗
Timeline · 1 report
- 2026-09-18 04:00 · arXiv cs.AI
SIMLIFE: Pattern Understanding for Long-Horizon Human-Agent Partnership