AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)

A Python Package for Non-stationary Online Learning (PyNOL)

AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control

Matlab implementation of online and window dynamic mode decomposition algorithms

tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.

A Python module for accelerating online optimization methods using operator regression.

Code for ''Distributed Online Optimization with Coupled Inequality Constraints over Unbalanced Directed Networks'' (CDC 2023)

[SIGMETRICS 2022]Expert-Calibrated Learning for Online Optimization with Switching Costs

Hogwild ! and other Classic Online Convex Optimization algorithms implementation for OCO course.

optopy is a prototyping and benchmarking Python framework for optimization, both static and dynamic, centralized and distributed

A two armed bandit simulation and comparison with theoritical convergence

Materials from the MVA Sequential Learning class.

Extremum seeking control (ESC) is implemented to obtain the resonant frequency of an underdamped mass-spring-damper system. For this purpose, a control architecture is designed for ESC to modulate the frequency of the input force and measure an estimate of the amplitude of the mass displacement.