Evolving Plastic Neural Networks for Online Learning: Review and Future Directions

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Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “Thus, research in neuroevolution, and more in general in AI, is progressively moving towards the design, or the evolution, of lifelong online learning neural systems (Coleman and Blair, 2012), rather than static systems.”
The evolution of a generalized neural learning rule (2016, background): “For a more comprehensive review of evolving plastic networks, see Coleman and Blair [13].”
Real-time Hebbian Learning from Autoencoder Features for Control Tasks (2014, background): “…artificial life and related fields (Baxter, 1992; Floreano and Urzelai, 2000; Niv et al., 2002; Soltoggio et al., 2008, 2007; Soltoggio and Jones, 2009; Soltoggio and Stanley, 2012; Risi and Stanley, 2010; Risi et al., 2011; Risi and Stanley, 2012; Stanley et al., 2003; Coleman and Blair, 2012).”