6 papers
Optimal Reward Shaping: Autonomous Car Parking Case Study
Emre Ãzkaya, Nicolas R. Gauger
Designing effective reward functions for model-free reinforcement learning under non-holonomic constraints remains a persistent challenge, often resulting in severe local minima su…
One-Shot Optimization with Additional Inequality Constraints
Lea Fischer, Nicolas R. Gauger, Lisa Kusch
The one-shot approach is a powerful simultaneous optimization framework for design tasks governed by computationally expensive steady-state systems. While previous formulations mai…
Algorithmic differentiation for domain specific languages in C++ with expression templates
Max Sagebaum, Nicolas R. Gauger
The application of operator overloading algorithmic differentiation (AD) to computer programs in order to compute the derivative is quite common. But, the replacement of the underl…
Adding complex numbers to expression template algorithmic differentiation tools
Max Sagebaum, Nicolas R. Gauger
Operator overloading algorithmic differentiation (AD) tools are usually only developed for floating-point values. Algorithmic optimization for, e.g., linear systems solvers or matr…
Refined stability estimates for mixed problems by exploiting semi norm arguments
Nicolas Gauger, Alexander Linke, Christian Merdon
Refined stability estimates are derived for classical mixed problems. The novel emphasis is on the importance of semi norms on data functionals, inspired by recent progress on pres…
Windowing Regularization Techniques for Unsteady Aerodynamic Shape Optimization
Steffen Schotthöfer, Beckett Y. Zhou, Tim Albring +1
Unsteady Aerodynamic Shape Optimization presents new challenges in terms of sensitivity analysis of time-dependent objective functions. In this work, we consider periodic unsteady…