Reward-driven Training of Random Boolean Network Reservoirs for Model-Free Environments
Reservoir Computing (RC) is an emerging machine learning paradigm where a fixed kernel, built from a randomly connected "reservoir" with sufficiently rich dynamics, is capable of expanding the problem space in a non-linear fashion to a higher dimensional feature space. These features can t...
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| Format: | Others |
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PDXScholar
2013
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| Online Access: | https://pdxscholar.library.pdx.edu/open_access_etds/669 https://pdxscholar.library.pdx.edu/cgi/viewcontent.cgi?article=1668&context=open_access_etds |