title: LARP: Language-Agent Role Play for Open-World Games
summary: 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/.
paper_authors._id: 65923039a6567cb93ca53187
paper_authors.name: Ming Yan
paper_authors._id: 65923039a6567cb93ca53188
paper_authors.name: Ruihao Li
paper_authors._id: 65923039a6567cb93ca53189
paper_authors.name: Hao Zhang
paper_authors._id: 65923039a6567cb93ca5318a
paper_authors.name: Hao Wang
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-01-02T09:26:53.153Z
paper_authors._id: 64245b3b24b8c42c15367bee
paper_authors.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/Nr7UaTDsEd2IqdNsyojTQ.jpeg
paper_authors.fullname: 王浩
paper_authors.type: user
paper_authors.user: wanghao-007
paper_authors._id: 65923039a6567cb93ca5318b
paper_authors.name: Zhilan Yang
paper_authors.status: claimed_verified
paper_authors.statusLastChangedAt: 2024-01-02T09:26:50.013Z
paper_authors._id: 65783285528e89e35f41af74
paper_authors.avatarUrl: /avatars/55db809970c06a2e0f616e7067ae3268.svg
paper_authors.fullname: yang
paper_authors.type: user
paper_authors.user: zhilan
paper_authors._id: 65923039a6567cb93ca5318c
paper_authors.name: Ji Yan
paper_title: LARP: Language-Agent Role Play for Open-World Games
paper_summary: 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/.
paper_ai_summary: LARP is a language agent framework for open-world games, incorporating memory and decision-making capabilities to enhance interaction and coherence in a diverse range of applications.
paper_ai_keywords: cognitive architecture memory processing decision-making assistant environment interaction module learnable action space postprocessing method language models