LARP: Language-Agent Role Play for Open-World Games
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/.
65923039a6567cb93ca53187
Ming Yan
65923039a6567cb93ca53188
Ruihao Li
65923039a6567cb93ca53189
Hao Zhang
65923039a6567cb93ca5318a
Hao Wang
claimed_verified
2024-01-02T09:26:53.153Z
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https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/Nr7UaTDsEd2IqdNsyojTQ.jpeg
王浩
user
wanghao-007
65923039a6567cb93ca5318b
Zhilan Yang
claimed_verified
2024-01-02T09:26:50.013Z
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/avatars/55db809970c06a2e0f616e7067ae3268.svg
yang
user
zhilan
65923039a6567cb93ca5318c
Ji Yan
LARP: Language-Agent Role Play for Open-World Games
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 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.
cognitive architecture memory processing decision-making assistant environment interaction module learnable action space postprocessing method language models