A learning classifier system for mazes with aliasing clones


Maze problems represent a simplified virtual model of the real environment and can be used for developing core algorithms of many real-world application related to the problem of navigation. Learning Classifier Systems (LCS) are the most widely used class of algorithms for reinforcement learning in mazes. However, LCSs best achievements in maze problems are… (More)
DOI: 10.1007/s11047-007-9055-7


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