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The Shapley Value in Machine Learning
[article]
2022
arXiv
pre-print
Over the last few years, the Shapley value, a solution concept from cooperative game theory, has found numerous applications in machine learning. In this paper, we first discuss fundamental concepts of cooperative game theory and axiomatic properties of the Shapley value. Then we give an overview of the most important applications of the Shapley value in machine learning: feature selection, explainability, multi-agent reinforcement learning, ensemble pruning, and data valuation. We examine the
arXiv:2202.05594v2
fatcat:6lkecqet2radnaendy5bbhglh4