Monte-Carlo planning for unit control in StarCraft

Zhe Wang, K. Nguyen, R. Thawonmas, F. Rinaldo
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引用次数: 6

Abstract

This paper presents an application of Monte-Carlo planning (MCPlan) to controlling units in a RTS game StarCraft. We apply an ε - greedy algorithm to model the opponent in a simulation for improving MCPlan's performance. Experimental results are provided at the end of this paper, which show the potential of MCPlan in this domain.
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《星际争霸》中单位控制的蒙特卡洛规划
本文介绍了蒙特卡罗规划(MCPlan)在RTS游戏《星际争霸》控制单元中的应用。为了提高MCPlan的性能,我们在仿真中采用了ε贪心算法对对手进行建模。最后给出了实验结果,表明了MCPlan在该领域的潜力。
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