arXiv:2402.08392
Large Language Models as Minecraft Agents
원문 초록
In this work we examine the use of Large Language Models (LLMs) in the challenging setting of acting as a Minecraft agent. We apply and evaluate LLMs in the builder and architect settings, introduce clarification questions and examining the challenges and opportunities for improvement. In addition, we present a platform for online interaction with the agents and an evaluation against previous works.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Matrix-Game: Interactive World Foundation Model
TransDreamerV3: Implanting Transformer In DreamerV3
Toward Memory-Aided World Models: Benchmarking via Spatial Consistency
MineAnyBuild: Benchmarking Spatial Planning for Open-world AI Agents
BAR: A Backward Reasoning based Agent for Complex Minecraft Tasks
BeliefNest: A Joint Action Simulator for Embodied Agents with Theory of Mind
토론
이 논문과 연결된 포럼 글이 아직 없습니다.