论文标题
“这很笨拙，需要很多时间。”在商业游戏中创建代理商的挑战和机会
"It's Unwieldy and It Takes a Lot of Time." Challenges and Opportunities for Creating Agents in Commercial Games
论文作者
论文摘要
对手，非选手角色和队友等比赛代理商对许多现代游戏的球员体验至关重要。随着游戏行业中使用的AI技术的景观进化以更广泛地采用机器学习（ML），因此，研究社区从数十年来创造代理商中培养的最佳实践中学习至关重要。但是，尽管商业游戏代理创建管道比基于ML的产品更成熟，但改进的机会仍然比比皆是。为了共同确定研究人员和从业人员之间的研究机会的基础，我们采访了AAA工作室，独立工作室和工业研究实验室的17个游戏代理创作者，介绍了他们在专业工作流方面遇到的挑战。我们的研究揭示了从设计到实施和评估的几个公开挑战。我们与研究界的文献进行了比较，该文献通过强调了游戏行业中未来研究支持代理商创造的有希望的方向来解决所确定的挑战和结论。
Game agents such as opponents, non-player characters, and teammates are central to player experiences in many modern games. As the landscape of AI techniques used in the games industry evolves to adopt machine learning (ML) more widely, it is vital that the research community learn from the best practices cultivated within the industry over decades creating agents. However, although commercial game agent creation pipelines are more mature than those based on ML, opportunities for improvement still abound. As a foundation for shared progress identifying research opportunities between researchers and practitioners, we interviewed seventeen game agent creators from AAA studios, indie studios, and industrial research labs about the challenges they experienced with their professional workflows. Our study revealed several open challenges ranging from design to implementation and evaluation. We compare with literature from the research community that address the challenges identified and conclude by highlighting promising directions for future research supporting agent creation in the games industry.
