The linear-quadratic (LQ) optimization is a close to standard technique in the optimal control framework. LQ is very well researched and there are many extensions for more sophisticated scenarios like nonlinear models. Usually, the quadratic objective function is taken as a prerequisite for...

Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to apply a regularization strategy and solve the model selection task as a continuous optimization problem. One of the most popular approaches in this research field is given by...

Policy makers constantly face optimal control problems: what controls allow to achieve certain targets in, e.g., GDP growth or inflation? Conventionally this is done by applying certain linear-quadratic optimization algorithms to dynamic econometric models. Several algorithms extend this...

Motivated agents are characterized by increasing their effort if their work generates not only a monetary return for them but also a benefit for a mission they support. While their motivation may stem from working for their preferred (i.e., the `right') mission, it may also be the principal's...

We study experimentally whether heterogeneity of behavior in the Centipede game can be interpreted as the result of a learning process of individuals with different preference types (more and less pro-social) and coarse information regarding the opponent's past behavior. We manipulate the...

Concessions try to avoid conflict in bargaining and can finally lead to an agreement. Although they usually are seen as unfolding in time, concessions can also be studied in normal form or by conditioning only on failure of earlier agreement attempts. We experimentally compare three protocols of...