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Andrea Zanelli

3 accepted papers

2024

Inherently Robust Suboptimal MPC for Autonomous Racing With Anytime Feasible SQP

RA-L 2024

In this paper, we propose an efficient inexact model predictive control (MPC) strategy for autonomous miniature racing with inherent robustness properties. We rely on a feasible sequential quadratic programming (SQP) algorithm capable of generating feasible intermediate iterates such that the solver

Cited by 14SourceScholar
2022

PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation

ICML 2022spotlight

Despite their success, policy gradient methods suffer from high variance of the gradient estimator, which can result in unsatisfactory sample complexity. Recently, numerous variance-reduced extensions of policy gradient methods with provably better sample complexity and competitive numerical perform…

Cited by 20SourcePDFScholar
2020

Transferring Optimality Across Data Distributions via Homotopy Methods

ICLR 2020poster

Homotopy methods, also known as continuation methods, are a powerful mathematical tool to efficiently solve various problems in numerical analysis, including complex non-convex optimization problems where no or only little prior knowledge regarding the localization of the solutions is available. In…

Cited by 2SourceScholar