Learning Interpretable Index Policies via LLM-Driven Zero-Order Optimization
Published in IEEE CASE 2026, 2026
We learn interpretable index policies by using a large language model to drive zero-order optimization.
Links: Google Scholar
Ni Mu
Ph.D. student, Dept. of Automation, Tsinghua University.
- Beijing, China
- Tsinghua University
- Google Scholar
- GitHub