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Deep reinforcement learning (DRL) has gained a lot of attention in recent years, and has been proven to be able to play Atari games and Go at or above human levels.
Stochastic Dynamic Programming: successive approximations and nearly optimal strategies for Markov decision processes and Markov games
van der Wal, J., van der Wal, J., van der Wal, J., Mathématicien, P.-B., van der Wal, J., and Mathematician, N · 1981
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Multi-agent reinforcement learning: Independent vs. cooperative agents
Tan, M · 1993
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Dancing links
Knuth, D. E · 2000
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The price of bandit information for online optimization
Dani, V., Kakade, S. M., and Hayes, T. P · 2008
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Determinization and information set monte carlo tree search for the card game dou di zhu
Whitehouse, D., Powley, E. J., and Cowling, P. I · 2011
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Combinatorial bandits
Cesa-Bianchi, N. and Lugosi, G · 2012
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Auto-encoding variational bayes
Kingma, D. P. and Welling, M · 2013
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Playing atari with deep reinforcement learning
Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., and Riedmiller, M · 2013
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Deep reinforcement learning in large discrete action spaces
Dulac-Arnold, G., Evans, R., van Hasselt, H., Sunehag, P., Lillicrap, T., Hunt, J., Mann, T., Weber, T., Degris, T., and Coppin, B · 2015
Cited alongside, same era.
Human-level control through deep reinforcement learning
Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., Graves, A., Riedmiller, M., Fidjeland, A. K., Ostrovski, G., et al · 2015
Cited alongside, same era.
Schaul, T., Quan, J., Antonoglou, I., and Silver, D · 2015
Cited alongside, same era.
Tutorial on variational autoencoders
Doersch, C · 2016
Cited alongside, same era.
Asynchronous methods for deep reinforcement learning
Mnih, V., Badia, A. P., Mirza, M., Graves, A., Lillicrap, T., Harley, T., Silver, D., and Kavukcuoglu, K · 2016
Pointnet: Deep learning on point sets for 3d classification and segmentation
Qi, C. R., Su, H., Mo, K., and Guibas, L. J · 2017
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Mastering the game of go without human knowledge
Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I., Huang, A., Guez, A., Hubert, T., Baker, L., Lai, M., Bolton, A., et al · 2017
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Off-policy evaluation for slate recommendation
Swaminathan, A., Krishnamurthy, A., Agarwal, A., Dudik, M., Langford, J., Jose, D., and Zitouni, I · 2017
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Dou dizhu ai
CSDN blog · 2018
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Reinforcement learning: An introduction
Sutton, R. S. and Barto, A. G · 2018
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Dou dizhu
Tencent · 2018
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Cited alongside, same era.
Mastering the game of go with deep neural networks and tree search
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., Van Den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al · 2016
Cited alongside, same era.
Deep reinforcement learning with double q-learning
Van Hasselt, H., Guez, A., and Silver, D · 2016
Cited alongside, same era.
Deepstack: Expert-level artificial intelligence in heads-up no-limit poker
Moravčík, M., Schmid, M., Burch, N., Lisỳ, V., Morrill, D., Bard, N., Davis, T., Waugh, K., Johanson, M., and Bowling, M · 2017
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Wikipedia · 2018
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Mean field multi-agent reinforcement learning
Yang, Y., Luo, R., Li, M., Zhou, M., Zhang, W., and Wang, J · 2018
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