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Reinforcement learning

The course presents the theoretical foundations of reinforcement learning as well as the principles of the most common algorithms. Through practical work, these elements will be extended to more complex situations, making it possible to introduce the most recent algorithms that have, for example, enabled computers to master the game of Go.

  • Understand the theoretical foundations of reinforcement learning.
  • Implement these methods in a way that is adapted to the problems to be solved.
  • Sharpen your critical thinking skills.

Course sequencing


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