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Evolving driving controllers using Genetic Programming
2009
2009 IEEE Symposium on Computational Intelligence and Games
Computational gaming requires the automatic generation of virtual opponents for different game levels. We have turned to artificial evolution to automatically generate such game players. In particular, we have used Genetic Programming to automatically evolve computer programs for computer gaming. With Genetic Programming, in theory, it is possible to generate any kind of program. The programs are not constrained as much as they are in other computational learning approaches, e.g. neural
doi:10.1109/cig.2009.5286465
dblp:conf/cig/EbnerT09
fatcat:lgomhcmmy5h5xgfscgeljrik74