From the 1 of 4 linked papers with an AI index.
4 papers
Knowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Decision Processes
Jonas Ehrhardt, René Heesch, Oliver Niggemann
The paper introduces KGRL, a reinforcement‑learning method that uses a Datalog knowledge base to filter actions and constrain parameters in Parametrized Action MDPs, and then refin…
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…
Data Driven Diagnosis for Large Cyber-Physical-Systems with Minimal Prior Information
Henrik Sebastian Steude, Alexander Diedrich, Ingo Pill +3
Diagnostic processes for complex cyber-physical systems often require extensive prior knowledge in the form of detailed system models or comprehensive training data. However, obtai…
AAAI Workshop on AI Planning for Cyber-Physical Systems -- CAIPI24
Oliver Niggemann, Gautam Biswas, Alexander Diedrich +3
The workshop 'AI-based Planning for Cyber-Physical Systems', which took place on February 26, 2024, as part of the 38th Annual AAAI Conference on Artificial Intelligence in Vancouv…