Playing to learn: case-injected genetic algorithms for learning to play computer games

  title={Playing to learn: case-injected genetic algorithms for learning to play computer games},
  author={Sushil J. Louis and Chris Miles},
  journal={IEEE Transactions on Evolutionary Computation},
We use case-injected genetic algorithms (CIGARs) to learn to competently play computer strategy games. CIGARs periodically inject individuals that were successful in past games into the population of the GA working on the current game, biasing search toward known successful strategies. Computer strategy games are fundamentally resource allocation games characterized by complex long-term dynamics and by imperfect knowledge of the game state. CIGAR plays by extracting and solving the game's… CONTINUE READING
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