Data from Deep Reinforcement Learning Model of Resilience Enhancement in Online Communities

This item contains data depicting the process of our <b>Double Deep Q Network</b> (and other three benchmark Deep Reinforcement Learning Models) adjusting the resiliences calculated by the data generated from a multi-agent simulation model, and the data collected from Zhihu Community. Also, there are cusp catastrophe fitting results of the simulation data and the Zhihu data in this item.In "<b>Simulation</b>" folder (file names contain "simulation"), there are cusp catastrophe fitting results and Double Deep Q Network adjusting data for the simulation data.In "<b>Zhihu</b>" folder (file names contain "zhihu"), there are cusp catastrophe fitting results and Double Deep Q Network adjusting data for the Zhihu data.All data files are uploaded as PKL files.