Applying Reinforcement Learning for Game AI in a Tank-Battle Game

@article{Fang2009ApplyingRL,
  title={Applying Reinforcement Learning for Game AI in a Tank-Battle Game},
  author={Yung-Ping Fang and I-hsien Ting},
  journal={2009 Fourth International Conference on Innovative Computing, Information and Control (ICICIC)},
  year={2009},
  pages={1031-1034}
}
Reinforcement learning is an unsupervised machine learning method in the area of Artificial Intelligence. It presents well performance in simulation of the thinking ability of human. However, it needs a trial-and-error process to achieve the goal. In the research field of game AI, it is a good approach to allow the non-player-characters (NPCs) of digital games to become more humanity. In this paper, we try to build a Tank-battle computer game and use the methodology of reinforcement learning… CONTINUE READING

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