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DARPA Gamebreaker AI Exploration Program

The Gamebreaker program seeks to develop and apply Artificial Intelligence (AI) to existing open-world video games to quantitatively assess game balance, identify parameters that significantly contribute to balance, and explore new capabilities, tactics, and rule modifications that are most destabilizing to the game.

  • Blue Wave was given top marks by DARPA, placing in the top 3 in 4 categories.
  • A Genetic Algorithm guided our autonomous game playing.
  • Model interpretability techniques such as SHAP and LIME illuminated the “why’s” of gaming wins, losses, and draws.
  • The impacts of weapon capabilities, costs, and commander strategies were explored and explained.
  • Methods to maximally disadvantage opponents were developed.
  • Our trained ANNs were able to predict outcomes with a 97% accuracy.
  • We were able to prove that our method of modeling is extensible from a complex RTS game to a completely different and even more complex RTS game. Furthermore, we were able to leverage the data from the first game by using Transfer Learning.
  • We were able to explore the action space using automated ‘Bot’ players of different skill levels and discover the relationship between military unit and weapon advancement and the training required to take advantage of them.
  • We developed an infrastructure that simulates 5,000 years of uninterrupted gameplay between two human players, enabling large-scale data collection for training Artificial Neural Networks (ANNs).

Watch the videos to learn more about the DARPA Gamebreaker AI Exploration Program

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Blue Wave AI Labs was one of nine teams awarded by DARPA to participate in the Gamebreaker program

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