Learning behaviors of the hierarchical structure stochastic automata under the nonstationary multiteacher environments and their applications to intelligent robot manipulators
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering
Link
http://xplorestaging.ieee.org/ielx7/21/6324844/06499295.pdf?arnumber=6499295
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A New Trial for Constructing A Reliable Decision Support System Utilizing Learning Automata and Soft Computing Techniques;FRONT ARTIF INTEL AP;2013
2. A relative reward-strength algorithm for the hierarchical structure learning automata operating in the general nonstationary multiteacher environment;IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics);2006-08
3. Learning Behaviors of the Hierarchical Structure Learning Automata Operating in the General Nonstationary Multiteacher Environment;Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications;2005-05-05
4. A Consideration on the Learning Behaviors of the HSLA Under the Nonstationary Multiteacher Environment and Their Application to Simulation and Gaming;Lecture Notes in Computer Science;2004
5. SEATER: an object-oriented simulation environment using learning automata for telephone traffic routing;IEEE Transactions on Systems, Man, and Cybernetics;1994
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