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most citedEvaluating Large Language Models for Real-World Engineering Tasks

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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.…