2 papers
cs.GT2026
Zeroth-Order Stackelberg Control in Combinatorial Congestion Games
Saeed Masiha, Sepehr Elahi, Negar Kiyavash +1
We study Stackelberg (leader--follower) tuning of network parameters (tolls, capacities, incentives) in combinatorial congestion games, where selfish users choose discrete routes (…
cs.LG2025
Efficiently Escaping Saddle Points for Policy Optimization
Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash +2
Policy gradient (PG) is widely used in reinforcement learning due to its scalability and good performance. In recent years, several variance-reduced PG methods have been proposed w…