盘古的主要思想非常简单:使用语言模型对plans进行打分。具体来说,盘古通过一个agent不断探索环境来枚举更复杂的plans,过程中语言模型对枚举的plans进行打分来对agent的探索过程进行更准确的方向引导。语言模型对plans的打分本质上等同于使用语言模型做sentence-pair classification或者semantic matching,这是语言模型再熟悉不过...
their generative ability. Pangu consists of a symbolic agent and a neural LM working in a concerted fashion: The agent explores the environment to incrementally construct valid plans, and the LM evaluates the plausibility of the candidate plans to guide the search process. A case study on the ...
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