This work addresses inverse dynamic games which generalize the inverse problem of optimal
control and where the aim is to identify cost functions based on observed optimal
trajectories. The identified cost functions can describe individual behavior in cooperative
systems e.g. human behavior in human-machine haptic shared control scenarios.
