Using Monte-carlo Planning for Micro-management in Starcraft
نویسندگان
چکیده
This paper presents an application of Monte-Carlo planning for controlling units in a RTS game StarCraft. We developed an original simulator for applying Monte-Carlo Planning (MCPlan) to solve the problem of random and simultaneous moves in the RTS game. We also apply an 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 shows the potential of MCPlan in this domain.
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تاریخ انتشار 2012