Computer Science ›› 2013, Vol. 40 ›› Issue (8): 249-251.
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SHAO Jie,DU Li-juan and YANG Jing-yu
[1] 邵杰,杨静宇.基于多LCS和人工势场法的机器人行为控制[J].计算机科学,2011,8(1):264-267 [2] 朱美强,程玉虎,李明,等.一类基于谱方法的强化学习混合迁移算法[J].自动化学报,2012,38(11):1765-1776 [3] Wiering M.Multi-agent reinforcement learning for traffic light control[C]∥Proc.17th Int.Conf.Mach.Learn.(ICML-00).Stanford Univ.Stanford,CA,2009:1151-1158 [4] Dixon P W,Corne D W,Oates M J.Apreliminary investigation of modified XCS as a generic data mining tool[C]∥Lanzi P L,Stolzmann W,Wilson S W,eds.LNAI,Advances in Learning Classifier Systems.vol.2321,Berlin,Germany:Springer-Verlag,2002:133-150 [5] 欧世峰,高颖,赵晓晖.基于随机梯度的变动量因子自适应白化算法[J].自动化学报,2012,38(8):1370-1374 [6] Butz M V,Goldberg D E,Lanzi P L.Gradient descent methods in learning classifier systems:Improving XCS performance in multistep problems[J].IEEE Trans.Evol.Comput.,2005,9(5):452-473 [7] Bernad E,o-Mansilla,Garrell J.Accuracy-based Learning Classifier Systems:Models,analysis and applications to classification tasks[J].Evolutionar Computation,2003,11(3):209-238 [8] Hung K-T,Liu J-S,Chang Y-Z.Smooth path planning for a mobile robot by evolutionary multiobjective optimization[C]∥IEEE Int.Symposium on Computational Intelligence in Robotics and Automation.Jacksonville,Florida,June 2007 [9] Butz M V,Lanzi P L,Wilson S W.Function approximation with XCS:Hyperellipsoidal conditions,recursive least squares,and compaction[J].IEEE Trans.Evol.Comput.,2008,12(3):355-376 [10] Bagnall A J,Cawley G C.Learning classifier systems for data mining:A comparison of XCS with other classifiers for the Fo-rest Cover dataset[C]∥Proc.IEEE/INNS Int.Joint Conf.Artificial Neural Netw.vol.3,Portland,OR,2003:1802-1807 |
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