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• W41360574 abstract "In this paper we propose a Multi-Agent version of UCT Monte Carlo Go. We use the emergent behavior of a great number of simple agents to increase the quality of the Monte Carlo simulations, increasing the strength of the artificial player as a whole. Instead of one agent playing against itself, different agents play in the simulation phase of the algorithm, leading to a better exploration of the search space. We could significantly overcome Fuego, a top Computer Go software. Emergent behavior seems to be the next step of Computer Go development." @default.
• W41360574 created "2016-06-24" @default.
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• W41360574 date "2011-05-02" @default.
• W41360574 modified "2023-09-28" @default.
• W41360574 title "Multi-agent Monte Carlo Go" @default.
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• W41360574 doi "https://doi.org/10.5555/2030470.2030474" @default.
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