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* [[Johannes Heinrich]], [[David Silver]] ('''2016'''). ''Deep Reinforcement Learning from Self-Play in Imperfect-Information Games''. [https://arxiv.org/abs/1603.01121 arXiv:1603.01121] <ref>[https://www.theguardian.com/technology/2016/mar/30/deepmind-poker-alphago-computer-casino?CMP=twt_a-technology_b-gdntech Could DeepMind try to conquer poker next?] by [https://www.theguardian.com/profile/alex-hern Alex Hern], [https://en.wikipedia.org/wiki/The_Guardian The Guardian], March 30, 2016</ref>
* [https://scholar.google.ca/citations?user=mZfgLA4AAAAJ&hl=en Vincent Dumoulin], [https://scholar.google.it/citations?user=kaAnZw0AAAAJ&hl=en Francesco Visin] ('''2016'''). ''A guide to convolution arithmetic for deep learning''. [https://arxiv.org/abs/1603.07285 arXiv:1603.07285]
* [[Ilya Loshchilov]], [[Frank Hutter]] ('''2016'''). ''CMA-ES for Hyperparameter Optimization of Deep Neural Networks''. [https://arxiv.org/abs/1604.07269 arXiv:1604.07269]
* [[Dale Schuurmans]], [[Martin Zinkevich]] ('''2016'''). ''[https://research.google.com/pubs/pub45550.html Deep Learning Games]''. [https://nips.cc/Conferences/2016/Schedule?type=Poster NIPS 2016]
* [[Andrei A. Rusu]], [[Neil C. Rabinowitz]], [[Guillaume Desjardins]], [[Hubert Soyer]], [[James Kirkpatrick]], [[Koray Kavukcuoglu]], [[Razvan Pascanu]], [[Raia Hadsell]] ('''2016'''). ''Progressive Neural Networks''. [https://arxiv.org/abs/1606.04671 arXiv:1606.04671]
