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Reinforcement Learning

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* [[Max Jaderberg]], [[Volodymyr Mnih]], [[Wojciech Marian Czarnecki]], [[Tom Schaul]], [[Joel Z. Leibo]], [[David Silver]], [[Koray Kavukcuoglu]] ('''2016'''). ''Reinforcement Learning with Unsupervised Auxiliary Tasks''. [https://arxiv.org/abs/1611.05397v1 arXiv:1611.05397v1]
* [[Jane X Wang]], [[Zeb Kurth-Nelson]], [[Dhruva Tirumala]], [[Hubert Soyer]], [[Joel Z Leibo]], [[Rémi Munos]], [[Charles Blundell]], [[Dharshan Kumaran]], [[Matthew Botvinick]] ('''2016'''). ''Learning to reinforcement learn''. [https://arxiv.org/abs/1611.05763 arXiv:1611.05763]
* [[Zacharias Georgiou]], [[Evangelos Karountzos]], [[Yaroslav Shkarupa]], [[Matthia Sabatelli]] ('''2016'''). ''A Reinforcement Learning Approach for Solving KRK Chess Endgames''. [https://github.com/paintception/A-Reinforcement-Learning-Approach-for-Solving-Chess-Endgames/blob/master/project_papers/final_paper/reinforcement-learning-approach(2).pdf pdf] <ref>[https://github.com/paintception/A-Reinforcement-Learning-Approach-for-Solving-Chess-Endgames GitHub - paintception/A-Reinforcement-Learning-Approach-for-Solving-Chess-Endgames: Machine Learning - Reinforcement Learning]</ref>
'''2017'''
* [[Hirotaka Kameko]], [[Jun Suzuki]], [[Naoki Mizukami]], [[Yoshimasa Tsuruoka]] ('''2017'''). ''Deep Reinforcement Learning with Hidden Layers on Future States''. [[Conferences#IJCA2017|Computer Games Workshop at IJCAI 2017]], [http://www.lamsade.dauphine.fr/~cazenave/cgw2017/Kameko.pdf pdf]

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