Based on the Reinforcement Learning Association Rules Recommendation Study


Reinforcement learning is an important method of machine learning. This paper using the graph theory to express varieties of knowledge points, which their's relationship is expressed by the graph of topological graph. Applied the Technology of association rule Recommendation to deal with the relationship between these knowledge points, give the corresponding of the recommendation work flow chart. In the paper data tables used to store the knowledge points, the algorithm to demonstrate the technical of association rule Recommendation feasibility and rationality.

  • Abstract
  • Key Words
  • 1 Introduction
  • 2 Using the Graph Theory to Express the Connection of Knowledge Point's Connection in the Reinforcement Learning
  • 3. The Existing Technology and Algorithm of Recommendation
  • 4. The Representation State Space
  • 5.Summaries
  • References

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