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Language agents have shown impressive problem-solving skills within definedsettings and brief timelines. Yet, with the ever-evolving complexities ofopen-world simulations, there's a pressing need for agents that can flexiblyadapt to complex environments and consistently maintain a long-term memory toensure coherent actions. To bridge the gap between language agents andopen-world games, we introduce Language Agent for Role-Playing (LARP), whichincludes a cognitive architecture that encompasses memory processing and adecision-making assistant, an environment interaction module with afeedback-driven learnable action space, and a postprocessing method thatpromotes the alignment of various personalities. The LARP framework refinesinteractions between users and agents, predefined with unique backgrounds andpersonalities, ultimately enhancing the gaming experience in open-worldcontexts. Furthermore, it highlights the diverse uses of language models in arange of areas such as entertainment, education, and various simulationscenarios. The project page is released at https://miao-ai-lab.github.io/LARP/.

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