Publications of our lab in terms of Game AI
More related works can be seen in our Wiki
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赵冬斌, 邵坤, 朱圆恒, 等. 深度强化学习综述: 兼论计算机围棋的发展. 控制理论与应用, 2016, 33(6): 701-717.
D. Zhao, K. Shao, Y. Zhu, D. Li, Y. Chen, H. Wang, D. Liu, T. Zhou, and C. Wang, “Review of deep reinforcement learning and discussions on the development of computer Go,” Control Theory and Applications, vol. 33, no. 6, pp. 701–717, 2016.
http://jcta.cnjournals.com/cta_cn/ch/reader/view_abstract.aspx?file_no=CCTA160173&flag=1 -
唐振韬, 邵坤, 赵冬斌, 等. 深度强化学习进展: 从 AlphaGo 到 AlphaGo Zero. 控制理论与应用, 2018, 34(12): 1529-1546.
Z. Tang, K. Shao, D. Zhao, and Y. Zhu, “Recent progress of deep reinforcement learning: from AlphaGo to AlphaGo Zero,” Control Theory and Applications, vol. 34, no. 12, pp. 1529–1546, 2017. http://jcta.cnjournals.com/cta_cn/ch/reader/view_abstract.aspx?file_no=CCTA170808&flag=1
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Zhao D, Zhang Z, Dai Y. Self-teaching adaptive dynamic programming for Gomoku. Neurocomputing, 2012, 78(1): 23-29.
https://www.sciencedirect.com/science/article/pii/S0925231211004772 -
Tang Z, Zhao D, Shao K, et al. ADP with MCTS Algorithm for Gomoku. IEEE Symposium Series on Computational Intelligence (SSCI). 2016: 1-7.
https://ieeexplore.ieee.org/abstract/document/7849371/ -
Shao K, Zhao D, Tang Z, et al. Move prediction in Gomoku using deep learning. Youth Academic Annual Conference of Chinese Association of Automation (YAC). IEEE, 2016: 292-297.
https://ieeexplore.ieee.org/abstract/document/7804906/
- Zhao D, Wang H, Shao K, et al. Deep reinforcement learning with experience replay based on SARSA. IEEE Symposium Series on Computational Intelligence (SSCI), 2016: 1-6.
https://ieeexplore.ieee.org/abstract/document/7849837/
- Zhao D, Zhu Y, Lv L, et al. Convolutional fitted Q iteration for vision-based control problems. IEEE International Joint Conference on Neural Networks (IJCNN). 2016: 4539-4544.
https://ieeexplore.ieee.org/abstract/document/7727794/
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Shao K, Zhu Y, Zhao D. Cooperative reinforcement learning for multiple units combat in StarCraft. IEEE Symposium Series on Computational Intelligence (SSCI), 2017: 1-6.
https://ieeexplore.ieee.org/abstract/document/8280949/ -
Shao K，Zhu Y, Zhao D. StarCraft micromanagement with reinforcement learning and curriculum transfer learning. IEEE Transactions on Emerging Topics in Computational Intelligence, 2018.
https://arxiv.org/abs/1804.00810 -
Tang Z, Zhao D, Zhu Y, Guo P. Reinforcement learning for build-order production in StarCraft II. International Conference on Information Society and Techology, 2018.
https://ieeexplore.ieee.xilesou.top/abstract/document/8426160/
- Shao K，Zhao D, Zhu Y. Visual navigation with actor-critic deep reinforcement learning. IEEE International Joint Conference on Neural Networks (IJCNN). 2018.
https://ieeexplore.ieee.xilesou.top/abstract/document/8489185/