Adaption of XCS to multi-learner predator/prey scenarios


Learning classifier systems (LCSs) are rule-based evolutionary reinforcement learning systems. Today, especially variants of Wilson's <i>extended classifier system (XCS)</i> are widely applied for machine learning. Despite their widespread application, LCSs have drawbacks, e. g., in multi-learner scennarios, since the <i>Markov property</i> is not fulfilled… (More)
DOI: 10.1145/1830483.1830669


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