Articles with "monotonicity cut" as a keyword



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Improvement of Reinforcement Learning With Supermodularity.

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Published in 2023 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2023.3244024

Abstract: Reinforcement learning (RL) is a promising approach to tackling learning and decision-making problems in a dynamic environment. Most studies on RL focus on the improvement of state evaluation or action evaluation. In this article, we… read more here.

Keywords: improvement; reinforcement learning; supermodularity; monotonicity cut ... See more keywords