Knowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Decision Processes

Researchers have proposed a reinforcement learning framework for Parametrized Action Markov Decision Processes that integrates incomplete domain knowledge and gradient guidance to improve sample efficiency.

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