# Collaborative Research: III: Small: Closing Sim-to-Real Gap in Reinforcement Learning via Randomization, Alignment, and Derivation

**Budget Signal Score:** 55/100

| Field | Value |
|---|---|
| Institution | University of California-San Francisco |
| Location | SAN FRANCISCO, CA |
| Project | Collaborative Research: III: Small: Closing Sim-to-Real Gap in Reinforcement Learning via Randomization, Alignment, and Derivation |
| Award amount | $99,987 |
| Obligated so far | $65,831 |
| Awarded | 2026-10-09 |
| Period | 2026-10-15 to 2027-08-31 |
| Program | Info Integration & Informatics |
| Directorate / division | CSE / CAIF |
| Award ID | 2629351 |

## Why this score
- Award of $99,987.
- Equipment- and compute-heavy field.
- Awarded in the last 30 days.

Source: U.S. National Science Foundation Awards API (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2629351). Last refreshed: 2026-11-03T18:10:42.804Z.
Award data comes from the NSF Awards API and may be amended by NSF. Institution-level only; investigator contact details are not included. Informational only.