#optimalcontrol — Public Fediverse posts

Probability,
теорія ймовірностей, теория вероятностей
#Probability,
#теоріяймовірностей, #теориявероятностей
t.me/scilib_yura15cbx/193

Number theory
Теория чисел, Теорія чисел
#Number theory
#Теориячисел, #Теоріячисел
t.me/scilib_yura15cbx/192

References, Collected works
Література, Зібрання праць,
Ссылки, Собрание сочинений
t.me/scilib_yura15cbx/190

Symmetry and groups
Симметрия и группы,
Симетрія і групи
#Symmetry
t.me/scilib_yura15cbx/189

Philosophy of mathematics
Філософія математики, Философия математики
t.me/scilib_yura15cbx/188

Mathematical physics
Математическая физика, Математична фізика
#Mathematical physics
#Математическаяфизика, #Математичнафізика
t.me/scilib_yura15cbx/187

Optimization and control
Оптимізація та контроль, Оптимизация и контроль
t.me/scilib_yura15cbx/186

Optimal control
Оптимальный контроль, Оптимальний контроль
#Optimal control
#Оптимальныйконтроль, #Оптимальнийконтроль
t.me/scilib_yura15cbx/185

Numerical methods
Чисельні методи, Численные методы
#Numerical methods
#Чисельніметоди, #Численныеметоды
t.me/scilib_yura15cbx/184

Lecture notes
Конспекты лекций, Конспект лекцiй
t.me/scilib_yura15cbx/183

Encyclopaediae, School-level
Енциклопедії, Шкільний рівень
Энциклопедии, школьный уровень
t.me/scilib_yura15cbx/182

Games, game theory
Ігри, теорія ігор
Игры, теория игр
#Games, #game theory
#Ігри, ₽теоріяігор
#Игры, #теорияигр
t.me/scilib_yura15cbx/181

Geometry and topology
Геометрия и топология
Геометрія і топологія
#Geometry and #topology
#Геометрия и #топология
#Геометрія і #топологія
t.me/scilib_yura15cbx/180

Biography, history
Биография, история
Біографія, історія
#Biography, #history
#Биография, #история
#Біографія, #історія
t.me/scilib_yura15cbx/178

Mams_ Proceedings AMS
Праці AMS, Труды АМС
t.me/scilib_yura15cbx/177

Algebra, Алгебра
#Algebra, #Алгебра
t.me/scilib_yura15cbx/176

Optical devices
Оптика, оптические устройства, технологии, инжинерия
#Optical devices

t.me/scilib_yura15cbx/173

This ensures that optimality principles are not merely theoretical constructs but are firmly rooted in experimental observations. #DataDriven
#OptimalControl #ScientificDiscovery

re-#introduction after moving instances

Hello mathstodon! 👋
We are a computational #quantum #physics group at the Freie Universität Berlin and the Dahlem Center for Complex Quantum Systems.
Our research interests are in the #QuantumControl of atoms, molecules and condensed matter systems with an #AMO like structure as well as #QuantumInformation processing.
We are using both #CoherentControl concepts and #OptimalControl theory, applying them to isolated as well as open quantum systems.
The development of optimal control methods is a major part of our work. A current emphasis is on control methods for open quantum systems.

We collaborate with research groups all over Europe (France, Spain, Switzerland), Israel and the US.

Thanks for having us, we are looking forward to sharing and discussing research updates!

“(...) I switched to studying #mathematics at the university and went my way to diploma, #PhD, being a mother, a teacher, a developer of final exams in math, to leadership in the climate and sustainability working group.” - Ricki Rosendahl

➡️ https://hermathsstory.eu/ricki-rosendahl/

#Industry #ActuarialConsultant #OptimalControl #NonTraditionalPathways #WomenInMaths #WomenInSTEM #HerMathsStory

#introduction Hello Mastodon! We are a computational #quantum #physics group at the FU Berlin. Our main areas for applying #QuantumControl strategies are dynamics in #AMO systems and #QuantumInformation processing.
We are using #CoherentControl as well as #OptimalControl on both isolated and open quantum systems.
A major part of our work is also the development of optimal control methods.

We collaborate with research groups all over Europe, Israel and the US.

Just implemented something crazy, No clue how to make it converge or whether it's even feasible 😅

Env: Cartpole + continuous action space + image observation + Frame stacking

Policy: Use CNN encoded features and predicts the state, and weights of a LQR system (A, B, Q, R) with MLP -> solves the LQR over a horizon using differentiable convex optimization with constraint on actions, output is the first optimal action.

Loss: Policy gradient on rewards

#ReinforcementLearning #OptimalControl

#introduction I'm Michael Goerz, a computational physicist working on #quantum #optimalcontrol. Initially, in the context of #quantumcomputing in open quantum systems (Rydberg atoms, ions, superconducting qubits), current applications tend towards robust #quantumsensing. Most of my time is spent developing methods and software. I have a long background in #Fortran and #Python. My primary language today is #julialang, working on the QuantumControl.jl package.