LARP：开放世界游戏中的语言代理角色扮演

摘要

语言代理在规定的环境和短时间内展现了令人印象深刻的问题解决能力。然而，随着开放世界模拟的不断复杂化，迫切需要代理能够灵活适应复杂环境，并始终保持长期记忆以确保行动连贯性。为了弥合语言代理和开放世界游戏之间的差距，我们引入了角色扮演语言代理（LARP），其中包括一个涵盖记忆处理和决策辅助的认知架构，一个具有反馈驱动可学习行动空间的环境交互模块，以及一种促进各种个性对齐的后处理方法。LARP框架优化了用户与代理之间的交互，预先设定了独特背景和个性，最终增强了在开放世界环境中的游戏体验。此外，它突出了语言模型在娱乐、教育和各种模拟场景等多个领域的广泛用途。项目页面发布在https://miao-ai-lab.github.io/LARP/。

English

Language agents have shown impressive problem-solving skills within defined settings and brief timelines. Yet, with the ever-evolving complexities of open-world simulations, there's a pressing need for agents that can flexibly adapt to complex environments and consistently maintain a long-term memory to ensure coherent actions. To bridge the gap between language agents and open-world games, we introduce Language Agent for Role-Playing (LARP), which includes a cognitive architecture that encompasses memory processing and a decision-making assistant, an environment interaction module with a feedback-driven learnable action space, and a postprocessing method that promotes the alignment of various personalities. The LARP framework refines interactions between users and agents, predefined with unique backgrounds and personalities, ultimately enhancing the gaming experience in open-world contexts. Furthermore, it highlights the diverse uses of language models in a range of areas such as entertainment, education, and various simulation scenarios. The project page is released at https://miao-ai-lab.github.io/LARP/.

LARP：开放世界游戏中的语言代理角色扮演

LARP: Language-Agent Role Play for Open-World Games

摘要

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