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cs.AI2026
Knowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Decision Processes
Jonas Ehrhardt, René Heesch, Oliver Niggemann
In this paper, we study Reinforcement Learning in Parametrized Action Markov Decision Processes (PAMDP), where each decision consists of a symbolic action and numerical parameters.…
cs.LG2026
Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark
Felix Leonhard Janzen, Lukas Moddemann, Alexander Diedrich +1
In many cyber-physical systems, especially in critical applications such as aeroplanes, data to train anomaly detection and diagnosis algorithms is lacking due to data protection i…