solve_game: zero-sum game solver based on lpSolve
In naturewillconfess/hearthstone: Nash calculators for Hearthstone competitive formats
solve_game R Documentation
zero-sum game solver based on lpSolve
Description
Finds Nash equilibrium in mixed strategies and expected winrate for both players in a zero-sum game specified by a payoff matrix
Usage
solve_game(W)
Arguments
W
Winrate matrix (from the perspective of the Hero)
Value
A list with a solution
Examples
solve_game(W = matrix(runif(9), 3, 3))
naturewillconfess/hearthstone documentation built on June 17, 2024, 1:41 p.m.
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| solve_game | R Documentation |
zero-sum game solver based on lpSolve
Description
Finds Nash equilibrium in mixed strategies and expected winrate for both players in a zero-sum game specified by a payoff matrix
Usage
solve_game(W)
Arguments
W |
Winrate matrix (from the perspective of the Hero) |
Value
A list with a solution
Examples
solve_game(W = matrix(runif(9), 3, 3))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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