A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
Volume 1
Issue 3
IEEE/CAA Journal of Automatica Sinica
| Citation: | Quan Liu, Xin Zhou, Fei Zhu, Qiming Fu and Yuchen Fu, "Experience Replay for Least-Squares Policy Iteration," IEEE/CAA J. of Autom. Sinica, vol. 1, no. 3, pp. 274-281, 2014.
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Zhu Fei, Liu Quan, Fu Qi-Ming, Fu Yu-Chen. A least square actor-critic approach for continuous action space. Journal of Computer Research and Development, 2014, 51(3): 548-558 (in Chinese)
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Liu De-Rong, Li Hong-Liang, Wang Ding. Data-based self-learning optimal control: research progress and prospects. Acta Automatica Sinica, 2013, 39(11): 1858-1870 (in Chinese)
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Zhu Mei-Qiang, Cheng Yu-Hu, Li Ming, Wang Xue-Song, Feng Huan-Ting. A hybrid transfer algorithm for reinforcement learning based on spectral method. Acta Automatica Sinica, 2012, 38(11): 1765-1776 (in Chinese)
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Chen Xin, Wei Hai-Jun, Wu Min, Cao Wei-Hua. Tracking learning based on Gaussian regression for multi-agent systems in continuous space. Acta Automatica Sinica, 2013, 39(12): 2021-2031 (in Chinese)
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Xu X, Zuo L, Huang Z H. Reinforcement learning algorithms with function approximation: recent advances and applications. Information Sciences, 2014, 261: 1-31
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Maei H R, Szepesvári C, Bhatnagar S, Sutton R S. Toward off-policy learning control with function approximation. In: Proceedings of the 27th International Conference on Machine Learning. Haifa: Omnipress, 2010. 719-726
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Dann C, Neumann G, Peters J. Policy evaluation with temporal differences: a survey and comparison. The Journal of Machine Learning Research, 2014, 15(1): 809-883
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Adam S, Busoniu L, Babuska R. Experience replay for real-time reinforcement learning control. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2012, 42(2): 201-212
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Jung T, Polani D. Kernelizing LSPE (λ). In: Proceedings of the 2007 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning. Honolulu, HI: IEEE, 2007. 338-345
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Jung T, Polani D. Least squares SVM for least squares TD learning. In: Proceedings of the 17th European Conference on Artificial Intelligence. Amsterdam: IOS Press, 2006. 499-503
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