articleProceedings of the Thirty-First International Joint Conference on Artificial IntelligenceJul 1, 2022BRONZE OA
The Shapley Value in Machine Learning
AstraZeneca (Brazil) · University of Edinburgh · +3 more institutions
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Abstract
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 most crucial limitations of the Shapley value and point out directions for future research.
Citation impact
257
total citations
- FWCI
- 23.99
- Percentile
- 100%
- References
- 76
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Authors
7Topics & keywords
Topics
Keywords
- Shapley value
- Axiom
- Cooperative game theory
- Computer science
- Valuation (finance)
- Artificial intelligence
- Game theory
- Reinforcement learning
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