Competing sample sizes for the co-evolution of heterogeneous agents

@article{Parker2004CompetingSS,
  title={Competing sample sizes for the co-evolution of heterogeneous agents},
  author={Gary B. Parker and H. Joseph Blumenthal},
  journal={2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)},
  year={2004},
  volume={2},
  pages={1438-1443 vol.2}
}
Evolving heterogeneous behavior for cooperative agents is a complex challenge. The co-evolution of separate populations requires a system for evaluation at trial time. If too few combinations of partners are tested, the GA is unable to recognize fit agents, but if too many agents are tested the required computation time becomes unreasonable. To resolve this issue, we created a system based on punctuated anytime learning that periodically tests partner combinations to reduce computation time. In… CONTINUE READING

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