min-max-ai@1.0.2 vulnerabilities
Minimax is a decision rule used in artificial intelligence, decision theory, game theory, statistics and philosophy for minimizing the possible loss for a worst case (maximum loss) scenario. When dealing with gains, it is referred to as "maximin" to maxim
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latest version
1.0.2
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latest non vulnerable version
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first published
5 years ago
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latest version published
5 years ago
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licenses detected
- >=0
Direct Vulnerabilities
No direct vulnerabilities have been found for this package in Snyk’s vulnerability database. This does not include vulnerabilities belonging to this package’s dependencies.
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