Discovering Representations for Black-box Optimization

9 March 2020

Papers citing "Discovering Representations for Black-box Optimization"

8 / 8 papers shown

Title
Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space Matthew C. Fontaine Julian Togelius Stefanos Nikolaidis Amy K. Hoover 79 138 0 05 Dec 2019
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network Vanessa Volz Jacob Schrum Jialin Liu Simon Lucas Adam M. Smith S. Risi GAN 102 232 0 02 May 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 62 1,346 0 16 Feb 2018
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 90 691 0 18 Dec 2017
Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm Vassilis Vassiliades Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 52 156 0 18 Oct 2016
Illuminating search spaces by mapping elites Jean-Baptiste Mouret Jeff Clune 74 732 0 20 Apr 2015
Robots that can adapt like animals Antoine Cully Jeff Clune Danesh Tarapore Jean-Baptiste Mouret 85 1,036 0 13 Jul 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 424 16,944 0 20 Dec 2013