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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.AI2025
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…
cs.AI2024
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…