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Search for: [Abstract = "In this paper we propose a strategy learning model for autonomous agents based on classification. In the literature, the most commonly used learning method in agent\-based systems is reinforcement learning. In our opinion, classification can be considered a good alternative. This type of supervised learning can be used to generate a classifier that allows the agent to choose an appropriate action for execution. Experimental results show that this model can be successfully applied for strategy generation even if rewards are delayed."]

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AMCS, Volume 25 (2015)

Śnieżyński, Bartłomiej Byrski, Aleksander - ed. Kisiel-Dorohinicki, Marek - ed. Dobrowolski, Grzegorz - ed.

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