Adaption of XCS to multi-learner predator/prey scenarios
Clemens Lode, Urban Richter, Hartmut Schmeck · 2010
Learning classifier systems (LCSs) are rule-based evolutionary reinforcement learning systems. Today, especially variants of Wilson's extended classifier system (XCS) are widely applied for machine learning. Despite their widespread application, LCSs have drawbacks, e. g., in multi-learner scennarios, since the Markov property is not fulfilled.