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This repository has been archived by the owner on Oct 27, 2019. It is now read-only.
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Integrated Tensorforce and OpenAI Gym to train SC II game agents.

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Attempted Reproduction of Deepmind’s StarCraft II Research

UPDATE on 10/26/19

After two years of getting more into this field of RL research, I realized this reproduction was not even close to the original implementation. I would recommend https://github.com/simonmeister/pysc2-rl-agents as a better reproduction. I am archiving this repo.


You may view the Jupyter Writeup here. In this project, we

  • Utilized Openai Gym to interact with Pysc2, the SC II Learning Environment
  • Successfully incorporated Tensorforce, a reinforcement learning framework, to train SC II game agents
  • Constructed maintainable and understandable machine learning code

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Integrated Tensorforce and OpenAI Gym to train SC II game agents.

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