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* [[Paweł Liskowski]], [[Wojciech Jaśkowski]], [[Krzysztof Krawiec]] ('''2017'''). ''Learning to Play Othello with Deep Neural Networks''. [https://arxiv.org/abs/1711.06583 arXiv:1711.06583] <ref>[https://en.wikipedia.org/wiki/Edax_(computing) Edax] by [[Richard Delorme]]</ref>
* [https://dblp.uni-trier.de/pers/hd/c/Chen:Qiming Qiming Chen], [[Ren Wu]] ('''2017'''). ''CNN Is All You Need''. [https://arxiv.org/abs/1712.09662 arXiv:1712.09662]
* [[Risto Miikkulainen]], et al. ('''2017'''). ''Evolving Deep Neural Networks''. [https://arxiv.org/abs/1703.00548 arXiv:1703.00548]
'''2018'''
* [[Paweł Liskowski]], [[Wojciech Jaśkowski]], [[Krzysztof Krawiec]] ('''2018'''). ''Learning to Play Othello with Deep Neural Networks''. [[IEEE#TOG|IEEE Transactions on Games]]
* [[Matthia Sabatelli]], [[Francesco Bidoia]], [[Valeriu Codreanu]], [[Marco Wiering]] ('''2018'''). ''Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead''. ICPRAM 2018, [http://www.ai.rug.nl/~mwiering/GROUP/ARTICLES/ICPRAM_CHESS_DNN_2018.pdf pdf]
* [[Diogo R. Ferreira]], [https://www.researchgate.net/profile/P_Carvalho2 Pedro J. Carvalho], [https://scholar.google.be/citations?user=fkoOZ80AAAAJ&hl=en Horácio Fernandes], [https://en.wikipedia.org/wiki/Joint_European_Torus JET] Contributors ('''2018'''). ''Full-pulse Tomographic Reconstruction with Deep Neural Networks''. [https://arxiv.org/abs/1802.02242 arXiv:1802.02242]
* [[Aditya Rawal]], [[Risto Miikkulainen]] ('''2018'''). ''From Nodes to Networks: Evolving Recurrent Neural Networks''. [https://arxiv.org/abs/1803.04439 arXiv:1803.04439]
* [[George Philipp]], [[Jaime Carbonell]] ('''2018'''). ''The Nonlinearity Coefficient - Predicting Generalization in Deep Neural Networks''. [https://arxiv.org/abs/1806.00179 arXiv:1806.00179]
* [[Sai Krishna G.V.]], [[Kyle Goyette]], [[Ahmad Chamseddine]], [[Breandan Considine]] ('''2018'''). ''Deep Pepper: Expert Iteration based Chess agent in the Reinforcement Learning Setting''. [https://arxiv.org/abs/1806.00683 arXiv:1806.00683] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=67923 Deep Pepper Paper] by Leo, [[CCC]], July 07, 2018</ref>
* [[David J. Wu]] ('''2019'''). ''Accelerating Self-Play Learning in Go''. [https://arxiv.org/abs/1902.10565 arXiv:1902.10565]
* [[Aston Zhang]], [[Zack C. Lipton]], [[Mu Li]], [[Alex J. Smola]] ('''2019'''). ''[https://www.d2l.ai/index.html Dive into Deep Learning]''. An interactive deep learning book with code, math, and discussions
==2020 ...==
* [[Garrett Bingham]], [[William Macke]], [[Risto Miikkulainen]] ('''2020'''). ''Evolutionary Optimization of Deep Learning Activation Functions''. [https://arxiv.org/abs/2002.07224 arXiv:2002.07224]
* [[Jason Liang]], [[Santiago Gonzalez]], [[Risto Miikkulainen]] ('''2020'''). ''Population-Based Training for Loss Function Optimization''. [https://arxiv.org/abs/2002.04225 arXiv:2002.04225]
=Forum Posts=
