Knowledge reasoning - neural symbolic combined reasoning based on reinforcement learning

The knowledge graph is regarded as the environment, and the agent is modeled as a deep neural network, combining the advantages and disadvantages of symbolism and connectionism, so that the model has the generalization of neural networks at the same time