Jian Fu, Haibo He, Huiying Li, Qing Liu. A Hybrid Evolving and Gradient Strategy for Approximating Policy Evaluation on Online Critic-Actor Learning. In Jun Wang, Gary G. Yen, Marios M. Polycarpou, editors, Advances in Neural Networks - ISNN 2012 - 9th International Symposium on Neural Networks, Shenyang, China, July 11-14, 2012. Proceedings, Part I. Volume 7367 of Lecture Notes in Computer Science, pages 555-564, Springer, 2012. [doi]
@inproceedings{FuHLL12, title = {A Hybrid Evolving and Gradient Strategy for Approximating Policy Evaluation on Online Critic-Actor Learning}, author = {Jian Fu and Haibo He and Huiying Li and Qing Liu}, year = {2012}, doi = {10.1007/978-3-642-31346-2_62}, url = {http://dx.doi.org/10.1007/978-3-642-31346-2_62}, researchr = {https://researchr.org/publication/FuHLL12}, cites = {0}, citedby = {0}, pages = {555-564}, booktitle = {Advances in Neural Networks - ISNN 2012 - 9th International Symposium on Neural Networks, Shenyang, China, July 11-14, 2012. Proceedings, Part I}, editor = {Jun Wang and Gary G. Yen and Marios M. Polycarpou}, volume = {7367}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-642-31345-5}, }