Research on Neuroevolution Applications

In many real-world tasks, the correct behavior is not known, but must be discovered through intelligent exploration. As described in the Neuroevolution Methods page, neuroevolution is a powerful approach to such tasks (see also Reinforcement Learning ). In addition to the standard benchmark tasks, our research in this area focuses on robot control, game playing, resource optimization, music generation, theorem proving, and modeling language evolution.

This research is supported in part by the National Science Foundation under grant IIS-0083776 (and previously under IRI-9504317) and the Texas Higher Education Coordinating Board under grant ARP-003658-476-2001. Some of our projects are described below; for more details and for other projects, see publications in Neuroevolution Methods and Applications.

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Last update: 1.14 2002/11/13 05:17:52 risto