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This pull request implements a Q-learning algorithm to enhance the functionality of recommending books based on user performance. It integrates with books.py, interactions.py, and schema.prisma to provide personalized learning paths for students.

Key changes include:

  • Added Q-learning algorithm in interactions.py and a background ML task.
  • Modified books.py to fetch user scores and sort books based on performance.
  • Updated schema.prisma to include necessary models for tracking interactions and scores.

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3 participants