most citedOptimism as Risk-Seeking in Multi-Agent Reinforcement Learning

1 citations · 1 across the 6 of their papers we have counts for

collaborators
Showing math.OCShow all

1 paper · 1 filter

math.OC2025

Zeroth-Order Constrained Optimization from a Control Perspective via Feedback Linearization

Runyu Zhang, Gioele Zardini, Asuman Ozdaglar +2

Safe derivative-free optimization under unknown constraints is a fundamental challenge in modern learning and control. Existing zeroth-order (ZO) methods typically still assume acc…