Name
Abstract | ||
|---|---|---|
A fuzzy reinforcement learning (FRL) scheme which is based on the principles of sliding-mode control and fuzzy logic is proposed. The FRL uses only immediate reward. Sufficient conditions for the convergence of the FRL to the optimal task performance are studied. The validity of the method is tested through simulation examples of a robot which deburrs a metal surface |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/3477.979965 | IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics |
Keywords | DocType | Volume |
sufficient condition,fuzzy logic,immediate reward,metal surface,sliding-mode control,fuzzy reinforcement learning,compliance tasks ofrobotic manipulator,simulation example,optimal task performance | Journal | 32 |
Issue | ISSN | Citations |
1 | 1083-4419 | 3 |
PageRank | References | Authors |
0.81 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| s g tzafestas | 1 | 194 | 23.21 |
| G. G. Rigatos | 2 | 79 | 8.92 |