Machine learning - PushBall game

One AI-Human game to study neural networks and interactive cooperation among AI players.
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Aggiornato 8 dic 2017

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The neural-network algorithm is studied to train AI players for push-ball game. Two competitive teams can assign different number of players to investigate the cooperation of members. In this version, only the common score criterion and the trivial interactive model among team members are applied. The neural-network algorithm is referred to Peter Bone's MatLab code "Machine learning - balancing a stack of balls"

Cita come

I-Lin Ho (2024). Machine learning - PushBall game (, MATLAB Central File Exchange. Recuperato .

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Creato con R2012a
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Ispirato da: Machine learning - balancing a stack of balls

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Versione Pubblicato Note della release

modify the physical model