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…