The utility of reinforcement learning in predation of Batesian mimics
by A. Tsoularis
International Journal of Computer Aided Engineering and Technology (IJCAET), Vol. 1, No. 4, 2009

Abstract: In this article, the focus is on modelling the predation of Batesian mimics using reinforcement learning methodology. Essentially, it is proposed that the predator be modelled as a learning automaton aided by reinforcement algorithms to select palatable prey for consumption and avoid unpalatable ones. A tentative connection between reinforcement learning and the theory of dynamic programming and optimal control is also considered. The paper concludes by offering some ideas for future research in this area.

Online publication date: Fri, 18-Sep-2009

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