grant

CPS-Small: Provable Enforcement of Hard Constraints in Reinforcement Learning-Based Controllers for Safety-Critical CPS

Organization University of California-BerkeleyLocation BERKELEY, United StatesPosted 1 Jan 2026Deadline 31 Dec 2028
NSFUS FederalResearch GrantScience FoundationCA
Sign up free to applyApply link · pipeline · email alerts
— or —

Get email alerts for similar roles

Weekly digest · no password needed · unsubscribe any time

Description preview

As autonomous systems like self-driving cars and delivery robots become more common, making sure that they operate safely is critical. These systems often learn how to act using reinforcement learning (RL). While powerful, RL methods typically do not guarantee safety, which limits their use in the real world. A common approach towards capturing…

🔒

Full details available on the Agency plan

Unlock the complete grant description, eligibility criteria, contract value, evaluation details and apply link — plus alerts, pipeline tracking, and CSV export.

Start 7-day free trial — $29.99/mo →

Agency Plan

7-day free trial

Unlock procurement & grants

Upgrade to access active tenders from World Bank, UNDP, ADB and more — with email alerts and pipeline tracking.

$29.99 / month

  • 🔔Email alerts for new matching tenders
  • 🗂️Track tenders in your pipeline
  • 💰Filter by contract value
  • 📥Export results to CSV
  • 📌Save searches with one click
Start 7-day free trial →
CPS-Small: Provable Enforcement of Hard Constraints in Reinforcement Learning-Based Controllers for Safety-Critical CPS | Dev Procure