Dynamic Pricing Model of E-Commerce Platforms Based on Deep Reinforcement Learning

With the continuous development of artificial intelligence technology,its application field has gradually expanded.To further apply the deep reinforcement learning technology to the field of dynamic pricing,we build an intelligent dynamic pricing system,introduce the reinforcement learning technology related to dynamic pricing,and introduce existing research on the number of suppliers(single supplier and multiple suppliers),environmental models,and selection algorithms.A two-period dynamic pricing game model is designed to assess the optimal pricing strategy for e-commerce platforms under two market conditions and two consumer participation conditions.The first step is to analyze the pricing strategies of e-commerce platforms in mature markets,analyze the optimal pricing and profits of various enterprises under different strategy combinations,compare different market equilibriums and solve the Nash equilibrium.Then,assuming that all consumers are naive in the market,the pricing strategy of the duopoly e-commerce platform in emerging markets is analyzed.By comparing and analyzing the optimal pricing and total profit of each enterprise under different strategy combinations,the subgame refined Nash equilibrium is solved.Finally,assuming that the market includes all experienced consumers,the pricing strategy of the duopoly e-commerce platform in emerging markets is analyzed.

China’s Energy Security Strategy for Sustainable Development

In recent years, soaring energy consumption is posing a huge potential threat to China＇s energy security. China has rich coal resources, but most of the coal is mainly burned directly with low efficiency. Thus oil and gas plays a comparatively important role in national economic development. However domestic oil and gas cannot meet the need of economic development. To solve this problem, China would continue to import oil and gas from petroleum producing countries, especially from the Middle East. The dependence on oil import increases year after year and the sources of supply are concentrated in a few countries, which results in the insecurity of energy supply. Therefore, China should optimize its energy structure, improve energy efficiency, increase the geographic diversity of oil supply, build oil reserve bases, and develop new energies actively.

Spatio-Temporal Changes of Urban Population and Urban Construction Land in China

This paper first analyzes the general development trend and regional patterns of urban population and urban construction land in China from 1981 to 2009. Then it conducts a quantitative analysis on the coupling state between the growth rate of urban construction land and the urban population growth rate. Considering the status quo of urban development, it proposes that China should maximally optimize the allocation of land resources during the process of urban construction, so as to lessen the confl icts between the supply and demand of construction land.