| ▲ | robotresearcher 7 hours ago | |
Here’s a paper by Floreano at EPFL from 1997 explicitly on Red Queen dynamics for creating neural networks for intelligent robot control. There was lots of discussion of these ideas in the 1990s. In those days we trained very small NNs - tens of nodes - by evolving their weights and topologies. A run could take days on a workstation of the time. This particular paper is about co-evolving predator and prey, where the behavior of each is the ‘evaluation’ of the other. https://infoscience.epfl.ch/entities/publication/a65d0679-68... | ||
| ▲ | jldugger 4 hours ago | parent [-] | |
OP's link: > Now the researchers have addressed this issue by having both the self-improving agent and the evaluator evolve together. and your quote: > This particular paper is about co-evolving predator and prey, where the behavior of each is the ‘evaluation’ of the other. Both sound like the GAN approach that was popularized a decade ago and kinda the start of the "genAI" boom. | ||