Nicolas Kirsch

Differentiable Hybrid-Action Neural Feedback Control for District Heating Networks

Many cyber-physical systems require control policies that combine continuous setpoints with discrete operational de- cisions, such as equipment switching, mode selection, or resource scheduling. Discrete actions are not differentiable, which ob- structs gradient-based policy training, while conventional mixed- integer...