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* [[Matthew Lai]] ('''2015'''). ''Giraffe: Using Deep Reinforcement Learning to Play Chess''. M.Sc. thesis, [https://en.wikipedia.org/wiki/Imperial_College_London Imperial College London], [http://arxiv.org/abs/1509.01549v1 arXiv:1509.01549v1] » [[Giraffe]]
* [[Nikolai Yakovenko]], [[Liangliang Cao]], [[Colin Raffel]], [[James Fan]] ('''2015'''). ''Poker-CNN: A Pattern Learning Strategy for Making Draws and Bets in Poker Games''. [https://arxiv.org/abs/1509.06731 arXiv:1509.06731]
* [[Ilya Loshchilov]], [[Frank Hutter]] ('''2015'''). ''Online Batch Selection for Faster Training of Neural Networks''. [https://arxiv.org/abs/1511.06343 arXiv:1511.06343]
* [[Yuandong Tian]], [[Yan Zhu]] ('''2015'''). ''Better Computer Go Player with Neural Network and Long-term Prediction''. [http://arxiv.org/abs/1511.06410 arXiv:1511.06410] <ref>[http://www.technologyreview.com/view/544181/how-facebooks-ai-researchers-built-a-game-changing-go-engine/?utm_campaign=socialsync&utm_medium=social-post&utm_source=facebook How Facebook’s AI Researchers Built a Game-Changing Go Engine | MIT Technology Review], December 04, 2015</ref> <ref>[http://www.talkchess.com/forum/viewtopic.php?t=58514 Combining Neural Networks and Search techniques (GO)] by Michael Babigian, [[CCC]], December 08, 2015</ref> » [[Go]]
* [[Peter H. Jin]], [[Kurt Keutzer]] ('''2015'''). ''Convolutional Monte Carlo Rollouts in Go''. [http://arxiv.org/abs/1512.03375 arXiv:1512.03375]
* [[Kei Takada]], [[Hiroyuki Iizuka]], [[Masahito Yamamoto]] ('''2017'''). ''Reinforcement Learning for Creating Evaluation Function Using Convolutional Neural Network in Hex''. TAAI 2017 » [[Hex]]
* [[Chao Gao]], [[Martin Müller]], [[Ryan Hayward]] ('''2017'''). ''Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex''. [[Conferences#IJCAI2017|IJCAI 2017]]
* [[Thomas Elsken]], [[Jan Hendrik Metzen]], [[Frank Hutter]] ('''2017'''). ''Simple And Efficient Architecture Search for Convolutional Neural Networks''. [https://arxiv.org/abs/1711.04528 arXiv:1711.04528]
* [[Joel Veness]], [[Tor Lattimore]], [https://github.com/avishkar58 Avishkar Bhoopchand], [https://scholar.google.co.uk/citations?user=mB4yebIAAAAJ&hl=en Agnieszka Grabska-Barwinska], [https://dblp.org/pers/hd/m/Mattern:Christopher Christopher Mattern], [https://dblp.org/pers/hd/t/Toth:Peter Peter Toth] ('''2017'''). ''Online Learning with Gated Linear Networks''. [https://arxiv.org/abs/1712.01897 arXiv:1712.01897]
* [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]
* [[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]
* [[Ashwin Srinivasan]], [[Lovekesh Vig]], [[Michael Bain]] ('''2018'''). ''Logical Explanations for Deep Relational Machines Using Relevance Information''. [https://arxiv.org/abs/1807.00595 arXiv:1807.00595]
* [[Thomas Elsken]], [[Jan Hendrik Metzen]], [[Frank Hutter]] ('''2018'''). ''Neural Architecture Search: A Survey''. [https://arxiv.org/abs/1808.05377 arXiv:1808.05377]
* [[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2018'''). ''[http://science.sciencemag.org/content/362/6419/1140 A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play]''. [https://en.wikipedia.org/wiki/Science_(journal) Science], Vol. 362, No. 6419 <ref>[https://deepmind.com/blog/alphazero-shedding-new-light-grand-games-chess-shogi-and-go/ AlphaZero: Shedding new light on the grand games of chess, shogi and Go] by [[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]] and [[Demis Hassabis]], [[DeepMind]], December 03, 2018</ref>
* [[Chao Gao]], [[Siqi Yan]], [[Ryan Hayward]], [[Martin Müller]] ('''2018'''). ''A transferable neural network for Hex''. [[ICGA Journal#40_3|ICGA Journal, Vol. 40, No. 3]]
'''2019'''
* [[Marius Lindauer]], [[Frank Hutter]] ('''2019'''). ''Best Practices for Scientific Research on Neural Architecture Search''. [https://arxiv.org/abs/1909.02453 arXiv:1909.02453]
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