LARP：用於開放世界遊戲的語言代理角色扮演

摘要

語言代理人在明確設定和簡短時間內展現了令人印象深刻的問題解決能力。然而，隨著開放世界模擬的不斷演進複雜性，迫切需要能靈活適應複雜環境並始終保持長期記憶以確保一致行動的代理人。為了彌合語言代理人和開放世界遊戲之間的差距，我們引入了角色扮演語言代理人（LARP），其中包括一個涵蓋記憶處理和決策輔助的認知架構，一個帶有反饋驅動可學習行動空間的環境交互模塊，以及一種促進各種個性對齊的後處理方法。LARP框架完善了用戶和代理人之間的互動，預先定義了獨特背景和個性，最終增強了在開放世界情境中的遊戲體驗。此外，它突顯了語言模型在娛樂、教育和各種模擬場景等多個領域的多樣用途。該項目頁面已在 https://miao-ai-lab.github.io/LARP/ 上發布。

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：用於開放世界遊戲的語言代理角色扮演

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

摘要

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