Nash equilibrium: no unilateral gain
Image: Geofflambeth, CC BY-SA 4.0, via Wikimedia Commons
Nash equilibrium: no unilateral gain
A Nash equilibrium occurs when no player can improve their outcome by changing their strategy alone, assuming others' strategies remain unchanged. This concept is fundamental in game theory as it describes a stable state in non-cooperative games where players' strategies are optimal given the strategies of others. It highlights the interdependence of players' decisions and the strategic balance that arises.
Example
In a game where Alice chooses strategy A and Bob chooses strategy B, (A, B) is a Nash equilibrium if Alice cannot increase her payoff by switching to another strategy while Bob keeps his strategy unchanged. Similarly, Bob cannot improve his payoff by changing his strategy if Alice sticks to A.
Understanding Nash equilibrium is crucial for predicting outcomes in strategic interactions and designing effective strategies in various fields, including economics, politics, and business.
Zero-sum game
Zero-sum game: one player's gain equals another's loss
the minimax theorem says: in zero-sum games, there's a saddle point strategy
In zero-sum games, minimax theorem guarantees a saddle point strategy
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Momentum term accelerates convergence in the gradient direction
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