microPhantom：在不确定性和混乱中玩microRTS
microPhantom: Playing microRTS under uncertainty and chaos
摘要：
这篇竞赛论文介绍了microPhantom，一个玩microRTS并参加2020年microRTS AI竞赛的机器人。microPhantom基于我们之前的机器人POAdaptive，后者赢得了2018年和2019年microRTS AI竞赛的部分可观察赛道。在本文中，我们专注于不确定性下的决策，通过解决单位生产问题的方法的基础上结合约束规划和决策理论。我们表明，使用我们的方法来决定哪些单位训练显着提高了对第二个最好的microRTS机器人从部分可观察的轨道的胜率。我们还表明，我们的方法在混沌环境中是有弹性的，只有非常小的效率损失。为了允许可复制性和促进进一步的研究，microPhantom的源代码以及它使用的约束编程工具包是可用的。
英文摘要：
This competition paper presents microPhantom, a bot playing microRTS and participating in the 2020 microRTS AI competition. microPhantom is based on our previous bot POAdaptive which won the partially observable track of the 2018 and 2019 microRTS AI competitions. In this paper, we focus on decision-making under uncertainty, by tackling the Unit Production Problem with a method based on a combination of Constraint Programming and decision theory. We show that using our method to decide which units to train improves significantly the win rate against the second-best microRTS bot from the partially observable track. We also show that our method is resilient in chaotic environments, with a very small loss of efficiency only. To allow replicability and to facilitate further research, the source code of microPhantom is available, as well as the Constraint Programming toolkit it uses.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
