Publications associées à Directional Real-Time Optimization Applied to a Kite-Control Simulation Benchmark

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Convergence of adaptive algorithms for constrained weakly convex optimization

Volkan Cevher, Ahmet Alacaoglu, Yurii Malitskyi

We analyze the adaptive first order algorithm AMSGrad, for solving a constrained stochastic optimization problem with a weakly convex objective. We prove the

\tilde O(t^{-1/2})

rate of convergence for the squared norm of the gradient of Moreau envelope, ...

2021

Directional Real-Time Optimization Applied to a Kite-Control Simulation Benchmark

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Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning

Less Conservatism, Stronger Robustness: Iterative Robust Gain-Scheduled Path Following Control of Autonomous Bus With Unstructured and Changing Dynamics

C-shells: Deployable Gridshells with Curved Beams

A Noise-Resistant Mixed-Discrete Particle Swarm Optimization Algorithm for the Automatic Design of Robotic Controllers

Level-set-based Shape Optimization on Soft Magnetic Composites with Isotropy Constraint

The role of PDE-based parameterization techniques in gradient-based IGA shape optimization applications

A modular functional framework for the design and evaluation of multi-robot navigation

Shape optimization for a noise reduction problem by non-intrusive parametric reduced modeling

Mixed Nash Equilibria in the Adversarial Examples Game

Convergence of adaptive algorithms for constrained weakly convex optimization

Less Conservatism, Stronger Robustness: Iterative Robust Gain-Scheduled Path Following Control of Autonomous Bus With Unstructured and Changing Dynamics

Level-set-based Shape Optimization on Soft Magnetic Composites with Isotropy Constraint

C-shells: Deployable Gridshells with Curved Beams

A Noise-Resistant Mixed-Discrete Particle Swarm Optimization Algorithm for the Automatic Design of Robotic Controllers

Shape optimization for a noise reduction problem by non-intrusive parametric reduced modeling

Mixed Nash Equilibria in the Adversarial Examples Game

The role of PDE-based parameterization techniques in gradient-based IGA shape optimization applications

A modular functional framework for the design and evaluation of multi-robot navigation

Convergence of adaptive algorithms for constrained weakly convex optimization

Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning