Applying reinforcement learning to small scale combat in the real-time strategy game StarCraft:Broodwar

@article{Wender2012ApplyingRL,
  title={Applying reinforcement learning to small scale combat in the real-time strategy game StarCraft:Broodwar},
  author={S. Wender and I. Watson},
  journal={2012 IEEE Conference on Computational Intelligence and Games (CIG)},
  year={2012},
  pages={402-408}
}
  • S. Wender, I. Watson
  • Published 2012
  • Computer Science
  • 2012 IEEE Conference on Computational Intelligence and Games (CIG)
  • This paper presents an evaluation of the suitability of reinforcement learning (RL) algorithms to perform the task of micro-managing combat units in the commercial real-time strategy (RTS) game StarCraft:Broodwar (SC:BW. [...] Key Result The preliminary results presented in this paper show the viability of the RL algorithms at learning the selected task.Expand Abstract
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