A SLOW REINFORCEMENT LEARNING SCHEME FOR SELECTIVE PREDATION

@inproceedings{Tsoularis2007ASR,
  title={A SLOW REINFORCEMENT LEARNING SCHEME FOR SELECTIVE PREDATION},
  author={A. Tsoularis},
  year={2007}
}
In this paper, we utilize a reinforcement learning model for a specialist predator preying upon two types of prey, the noxious models, which are abundant, and the palatable mimics, which are much rarer, in accord with the concept of Batesian mimicry. The latter type of prey resembles the models in appearance so as to derive some protection from the predator who must avoid the unpalatable models. We treat the predator as a slow learning automaton adopting a simple reinforcement learning strategy… CONTINUE READING

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The utility of reinforcement learning in predation of Batesian mimics

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