Improving selection strategies in zeroth-level classifier systems based on average reward reinforcement learning
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DOI: 10.1007/s12652-018-0682-x
Abstract: As a genetics-based machine learning technique, zeroth-level classifier system (ZCS) based on average reward reinforcement learning (ZCSAR) evolves solutions to optimize average reward per time step. However, initial experimental results have shown that, in some… read more here.
Keywords: selection strategies; average reward; level classifier; selection ... See more keywords