Cooperative strategy based on adaptive Q-learning for robot soccer systems

@article{Hwang2004CooperativeSB,
  title={Cooperative strategy based on adaptive Q-learning for robot soccer systems},
  author={Kao-Shing Hwang and Shun-Wen Tan and Chien-Cheng Chen},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2004},
  volume={12},
  pages={569-576}
}
The objective of this paper is to develop a self-learning cooperative strategy for robot soccer systems. The strategy enables robots to cooperate and coordinate with each other to achieve the objectives of offense and defense. Through the mechanism of learning, the robots can learn from experiences in either successes or failures, and utilize these experiences to improve the performance gradually. The cooperative strategy is built using a hierarchical architecture. The first layer of the… CONTINUE READING
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Modified Q-learning method with fuzzy state division and adaptive rewards

Y. Maeda
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