activity
20242026
most citedOptimism as Risk-Seeking in Multi-Agent Reinforcement Learning

1 citations · 1 across the 30 of their papers we have counts for

collaborators
Showing math.OCShow all

9 papers · 1 filter

math.OC2026

Implementation-Based Incentive Design for Autonomous Mobility-on-Demand and Transit Systems

Xinling Li, Runyu Zhang, Gioele Zardini

Achieving a socially desirable operating point for a multimodal transportation system is challenging when Autonomous Mobility-on-Demand (AMoD) and Public Transit (PT) operators pur…

math.OC2026

Compositional Online Learning for Multi-Objective System Co-Design

Meshal Alharbi, Munther A. Dahleh, Gioele Zardini

Many engineered systems must balance competing objectives, such as performance and safety, cost and reliability, or efficiency and sustainability, and are naturally modeled as comp…

math.OC2026

Random-Subspace Sequential Quadratic Programming for Constrained Zeroth-Order Optimization

Runyu Zhang, Gioele Zardini

We study nonlinear constrained optimization problems in which only function evaluations of the objective and constraints are available. Existing zeroth-order methods rely on noisy…

math.OC2026

Scalable Co-Design via Linear Design Problems: Compositional Theory and Algorithms

Yubo Cai, Yujun Huang, Meshal Alharbi +1

Designing complex engineered systems requires managing tightly coupled trade-offs between subsystem capabilities and resource requirements. Monotone co-design provides a compositio…

math.OC2026

Distributional Uncertainty and Adaptive Decision-Making in System Co-design

Yujun Huang, Gioele Zardini

Complex engineered systems require coordinated design choices across heterogeneous components under conflicting objectives and uncertain specifications. Monotone co-design provides…

math.OC2026

A Globally Convergent Third-Order Newton Method via Unified Semidefinite Programming Subproblems

Yubo Cai, Wenqi Zhu, Coralia Cartis +1

We propose the Adaptive Levenberg-Marquardt Third-Order Newton Method (ALM-TON) method for unconstrained nonconvex optimization; to our knowledge, the framework provides the first…