Common sense knowledge is a part of knowledge reasoning. At present, common sense knowledge reasoning is also a hot and difficult point in the field of knowledge reasoning. In order to enable machines to use human language, and according to some content reasoning or inference rules, to get the results of common sense reasoning. This paper mainly explains how to obtain the common knowledge base, improve the reasoning ability of the machine to the social common knowledge, and test the common knowledge reasoning data set by using the epoch-making pre-training model through the deep reinforcement learning method. The experiment shows that by adjusting the parameters of the data, the accuracy can be improved, which is also conducive to the realization of the downstream social common sense reasoning question and answer task.

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