On-policy Q-learning for adaptive optimal control
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: 2014DOI: 10.1109/IJCNN.2014.6889460
Keyword(s): learning (artificial intelligence),n LLE,n OMP,n data point,n dimension reduction,n incremental learning,n linear coefficients,n linear patch,n local geometry,n locally linear embedding algorithm,n nonlinear dimensionality reduction algorithms,n orthogonal matching pursuit,n Conferences,n Joints,n Neural networks
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On-policy Q-learning for adaptive optimal control
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| contributor author | Jha, Sumit Kumar | |
| contributor author | Bhasin, Shubhendu | |
| date accessioned | 2020-03-12T22:27:46Z | |
| date available | 2020-03-12T22:27:46Z | |
| date issued | 2014 | |
| identifier other | 7010649.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1083849?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | On-policy Q-learning for adaptive optimal control | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8221078 | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | n LLE | |
| subject keywords | n OMP | |
| subject keywords | n data point | |
| subject keywords | n dimension reduction | |
| subject keywords | n incremental learning | |
| subject keywords | n linear coefficients | |
| subject keywords | n linear patch | |
| subject keywords | n local geometry | |
| subject keywords | n locally linear embedding algorithm | |
| subject keywords | n nonlinear dimensionality reduction algorithms | |
| subject keywords | n orthogonal matching pursuit | |
| subject keywords | n Conferences | |
| subject keywords | n Joints | |
| subject keywords | n Neural networks | |
| identifier doi | 10.1109/IJCNN.2014.6889460 | |
| journal title | daptive Dynamic Programming and Reinforcement Learning (ADPRL), 2014 IEEE Symposium on | |
| filesize | 271664 | |
| citations | 0 |