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Generative Adversarial Networks (GANs) are an emerging form of indirect encoding. The GAN is trained to induce a latent space on training data, and a real-valued evolutionary algorithm can search that latent space. Such Latent Variable Evolution (LVE
Externí odkaz:
http://arxiv.org/abs/2004.00151
Autor:
Gutierrez, Jake, Schrum, Jacob
Generative Adversarial Networks (GANs) have demonstrated their ability to learn patterns in data and produce new exemplars similar to, but different from, their training set in several domains, including video games. However, GANs have a fixed output
Externí odkaz:
http://arxiv.org/abs/2001.05065