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RL Approaches to the Iterated Prisoner's Dilemma

This project demonstrates how simple reinforcement learning algorithms can be used to approach the iterated prisoner's dilemma problem. It is inspired by this popular Veritasium video.

Collaborators:

  • Nate Bernich
  • Andrew Martin
  • Ben Borges
  • Jonathan Ranger

Submitted for CS 751 - Reinforcement Learning at UNH

I recommend running the whole project.ipynb notebook to observe the results.

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A reinforcement learning approach to the iterated prisoner's dilemma (class project).

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