为Hanabi 2018 CIG竞赛不断发展的代理商
Evolving Agents for the Hanabi 2018 CIG Competition
摘要：
Hanabi是一款带有隐藏信息的合作纸牌游戏，曾在业内获得重要奖项，最近也受到了一些学术界的关注。代理商的双轨竞争将在2018年CIG会议上进行。在本文中，我们开发了一种遗传算法，该算法通过从固定规则集中确定最佳规则序列作为策略来构建基于规则的代理。在三个独立的实验中，我们删除了人类的假设规则的顺序，添加新的，更有表现力的规则集和独立发展代理专门在特定的游戏规模。其结果是，我们实现了优于以前发表的研究的代理商的镜像和混合评估的分数。
英文摘要：
Hanabi is a cooperative card game with hidden information that has won important awards in the industry and received some recent academic attention. A two-track competition of agents for the game will take place in the 2018 CIG conference. In this paper, we develop a genetic algorithm that builds rule-based agents by determining the best sequence of rules from a fixed rule set to use as strategy. In three separate experiments, we remove human assumptions regarding the ordering of rules, add new, more expressive rules to the rule set and independently evolve agents specialized at specific game sizes. As result, we achieve scores superior to previously published research for the mirror and mixed evaluation of agents.
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。
