explainable reinforcement learning 1knowledge-guided exploration 1neuro-symbolic learning 1parametrized action mdp 1sample efficiency 1
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cs.AI2026
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…
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…