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Thank you, saved it for later. Do you have any other links to offer?
by vanderZwan 9y ago
Thank you, saved it for later. Do you have any other links to offer?
- peterstoziek 9y agoUnfortunately not in this domain.
- ericjang 9y agoHere's a recent survey / observational science paper by some prominent "neuroevolution" / A-Life researchers. https://arxiv.org/abs/1803.03453 https://arxiv.org/abs/1803.03453. I found this refreshing because it's rare that science papers talk about the debugging and experimental process and debugging journeys underlying this research.
- ofrancon 9y agoA few links you can look at if you're interested in neuroevolution, from the same group of researchers: Ken Stanley and Risto Miikkulainen original NEAT (NeuroEvolution of Augmenting Topologies) paper: http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf Ken Stanley's novelty search page, and a link to his book, "Why Greatness Cannot Be Planned: The Myth of the Objective": http://eplex.cs.ucf.edu/noveltysearch/userspage/ http://eplex.cs.ucf.edu/noveltysearch/userspage/ Risto Miikkulainen's Evolving Deep Neural Networks paper: https://arxiv.org/abs/1703.00548 https://arxiv.org/abs/1703.00548 Ken Stanley & team's work at Uber, with links to some recent papers: https://eng.uber.com/deep-neuroevolution/ https://eng.uber.com/deep-neuroevolution/
- yazr 9y agoAre these evolutionary techniques considered more or less sample-efficient (and or cpu-efficient) compared to DL with GD ??