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Lamarckian Learning in Multi-Agent Environments. Proceedings of the Fourth International Conference on Genetic Algorithms, page 303--310. San Francisco, CA: Morgan Kaufmann, (1991)An Approach to Anytime Learning. Machine Learning: Proceedings of the Ninth Annual Conference, page 189--195. San Francisco, CA: Morgan Kaufmann, (1992)Genome Length as an Evolutionary Self-adaptation., , , , and . PPSN, volume 1498 of Lecture Notes in Computer Science, page 345-356. Springer, (1998)Multi-Objective Learning via Genetic Algorithms., and . IJCAI, page 593-595. Morgan Kaufmann, (1985)An Approach to Anytime Learning., and . ML, page 189-195. Morgan Kaufmann, (1992)Predictive Models Using Fitness Distributions of Genetic Operators.. FOGA, page 139-161. Morgan Kaufmann, (1994)Visual analysis of evolutionary algorithms., , , , and . CEC, page 1419-1425. IEEE, (1999)A Coevolutionary Approach to Learning Sequential Decision Rules., , and . ICGA, page 366-372. Morgan Kaufmann, (1995)Multilevel Credit Assignment in a Genetic Learning System.. ICGA, page 202-209. Lawrence Erlbaum Associates, (1987)Evolutionary Algorithms for Reinforcement Learning, , and . Journal of Artificial Intelligence Research, (1999)