Fetching the paper…
Reading the bibliography…
In many complex dynamical systems, artificial or natural, one can observe self-organization of patterns emerging from local rules.
Principal Component Analysis and Factor Analysis , pp. 115–128
I. T. Jolliffe · 1904
Earlier work this paper cites.
Mathematical games: The fantastic combinations of john conway’s new solitaire game” life,”
Martin Gardener · 1970
Earlier work this paper cites.
Wheels, life, and other mathematical amusements , volume 86
Martin Gardner, Martin Gardner, Martin Gardner, and Martin Gardner · 1983
Earlier work this paper cites.
Statistical mechanics of cellular automata
Stephen Wolfram · 1983
Earlier work this paper cites.
Self-organized criticality in the’game of life
Per Bak, Kan Chen, and Michael Creutz · 1989
Earlier work this paper cites.
The origins of order: Self-organization and selection in evolution
Stuart A Kauffman · 1993
Earlier work this paper cites.
Evolving cellular automata with genetic algorithms: A review of recent work
Melanie Mitchell, James P Crutchfield, Rajarshi Das, et al · 1996
Earlier work this paper cites.
The self-made tapestry: pattern formation in nature , volume 198
Philip Ball · 1999
Earlier work this paper cites.
Efficient evolution of neural network topologies
Kenneth O Stanley and Risto Miikkulainen · 2002
Earlier work this paper cites.
Self-organization in biological systems
Scott Camazine, Jean-Louis Deneubourg, Nigel R Franks, James Sneyd, Eric Bonabeau, and Guy Theraula · 2003
Earlier work this paper cites.
Research of a cellular automaton simulating logic gates by evolutionary algorithms
Emmanuel Sapin, Olivier Bailleux, and Chabrier Jean-Jacques · 2003
Earlier work this paper cites.
Autopoiesis and cognition in the game of life
Randall D Beer · 2004
Earlier work this paper cites.
Functional genomic hypothesis generation and experimentation by a robot scientist
Ross D King, Kenneth E Whelan, Ffion M Jones, Philip GK Reiser, Christopher H Bryant, Stephen H Muggleton, Douglas B Kell, and Stephen G Oliver · 2004
Earlier work this paper cites.
Exploiting regularity without development
Kenneth O Stanley · 2006
Earlier work this paper cites.
Exploiting open-endedness to solve problems through the search for novelty
Joel Lehman and Kenneth O Stanley · 2008
Earlier work this paper cites.
Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
Cited alongside, same era.
The automation of science
Ross D King, Jem Rowland, Stephen G Oliver, Michael Young, Wayne Aubrey, Emma Byrne, Maria Liakata, Magdalena Markham, Pinar Pir, Larisa N Soldatova, et al · 2009
Cited alongside, same era.
Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio · 2010
Cited alongside, same era.
Goal babbling permits direct learning of inverse kinematics
Matthias Rolf, Jochen J Steil, and Michael Gienger · 2010
Cited alongside, same era.
Active learning to overcome sample selection bias: application to photometric variable star classification
Joseph W Richards, Dan L Starr, Henrik Brink, Adam A Miller, Joshua S Bloom, Nathaniel R Butler, J Berian James, James P Long, and John Rice · 2011
Cited alongside, same era.
Intrinsically motivated learning in natural and artificial systems
Suzuki–miyaura cross-coupling optimization enabled by automated feedback
Brandon J Reizman, Yi-Ming Wang, Stephen L Buchwald, and Klavs F Jensen · 2016
Later among the works it cites.
Human versus robots in the discovery and crystallization of gigantic polyoxometalates
Vasilios Duros, Jonathan Grizou, Weimin Xuan, Zied Hosni, De-Liang Long, Haralampos N Miras, and Leroy Cronin · 2017
Later among the works it cites.
Intrinsically motivated goal exploration processes with automatic curriculum learning
Sébastien Forestier, Yoan Mollard, and Pierre-Yves Oudeyer · 2017
Later among the works it cites.
beta-vae: Learning basic visual concepts with a constrained variational framework
Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner · 2017
Later among the works it cites.
Towards deeper understanding of variational autoencoding models
Shengjia Zhao, Jiaming Song, and Stefano Ermon · 2017
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Gianluca Baldassarre and Marco Mirolli · 2013
Cited alongside, same era.
Active learning of inverse models with intrinsically motivated goal exploration in robots
Adrien Baranes and Pierre-Yves Oudeyer · 2013
Cited alongside, same era.
Representation learning: A review and new perspectives
Yoshua Bengio, Aaron Courville, and Pascal Vincent · 2013
Cited alongside, same era.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Cited alongside, same era.
From dynamic movement primitives to associative skill memories
Peter Pastor, Mrinal Kalakrishnan, Franziska Meier, Freek Stulp, Jonas Buchli, Evangelos Theodorou, and Stefan Schaal · 2013
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Cited alongside, same era.
Unifying count-based exploration and intrinsic motivation
Marc Bellemare, Sriram Srinivasan, Georg Ostrovski, Tom Schaul, David Saxton, and Remi Munos · 2016
Cited alongside, same era.
Later among the works it cites.
Gep-pg: Decoupling exploration and exploitation in deep reinforcement learning algorithms
Cédric Colas, Olivier Sigaud, and Pierre-Yves Oudeyer · 2018
Later among the works it cites.
Improving exploration in evolution strategies for deep reinforcement learning via a population of novelty-seeking agents
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth Stanley, and Jeff Clune · 2018
Later among the works it cites.
Curiosity driven exploration of learned disentangled goal spaces
Adrien Laversanne-Finot, Alexandre Pere, and Pierre-Yves Oudeyer · 2018
Later among the works it cites.
Visual reinforcement learning with imagined goals
Ashvin V Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, and Sergey Levine · 2018
Later among the works it cites.
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Alexandre Péré, Sébastien Forestier, Olivier Sigaud, and Pierre-Yves Oudeyer · 2018
Later among the works it cites.
Recent advances in autoencoder-based representation learning
Michael Tschannen, Olivier Bachem, and Mario Lucic · 2018
Later among the works it cites.
Lenia: Biology of artificial life
Bert Wang-Chak Chan · 2019
Closest in time.
Skew-fit: State-covering self-supervised reinforcement learning
Vitchyr H Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, and Sergey Levine · 2019
Closest in time.
A curious formulation robot enables the discovery of a novel protocell behavior
Jonathan Grizou, Laurie J Points, Abhishek Sharma, and Leroy Cronin · 2020
Closest in time.