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'''2018'''
* [[Hui Wang]], [[Michael Emmerich]], [[Aske Plaat]] ('''2018'''). ''Monte Carlo Q-learning for General Game Playing''. [https://arxiv.org/abs/1802.05944 arXiv:1802.05944] » [[Monte-Carlo Tree Search|MCTS]], [[General Game Playing]]
* [[Vinícius Flores Zambaldi]], [[David Raposo]], [[Adam Santoro]], [[Victor Bapst]], [[Yujia Li]], [[Igor Babuschkin]], [[Karl Tuyls]], [[David P. Reichert]], [[Timothy Lillicrap]], [[Edward Lockhart]], [[Murray Shanahan]], [[Victoria Langston]], [[Razvan Pascanu]], [[Matthew Botvinick]], [[Oriol Vinyals]], [[Peter W. Battaglia]] ('''2018'''). ''Relational Deep Reinforcement Learning''. [https://arxiv.org/abs/1806.01830 arXiv:1806.01830]
* [[Hui Wang]], [[Michael Emmerich]], [[Aske Plaat]] ('''2018'''). ''Assessing the Potential of Classical Q-learning in General Game Playing''. [https://arxiv.org/abs/1810.06078 arXiv:1810.06078]
* [https://scholar.google.com/citations?user=n12uNYcAAAAJ&hl=en Vincent Francois-Lavet], [https://scholar.google.com/citations?user=dy_JBs0AAAAJ&hl=en Peter Henderson], [https://scholar.google.ca/citations?user=2_4Rs44AAAAJ&hl=en Riashat Islam], [https://scholar.google.com/citations?user=uyYPun0AAAAJ&hl=en Marc G. Bellemare], [[Joelle Pineau]] ('''2018'''). ''An Introduction to Deep Reinforcement Learning''. [https://arxiv.org/abs/1811.12560 arXiv:1811.12560]
