A two stage learning technique for dual learning in the pursuit-evasion differential game
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Year
: 2014DOI: 10.1109/IJCNN.2014.6889452
Keyword(s): building management systems,n contamination,n pollution control,n sensors,n cognitive mechanisms,n cognitive monitoring system,n contaminant concentration measurement,n contaminant detection,n contaminant presence,n contaminant source,n intelligent buildings,n real-time point-trigger sensors,n sensing systems,n sensor degradation,n Artificial intelligence,n Buildings,n Degradation,n Monitoring,n Noise,n Pollution measurement,n Sensors
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A two stage learning technique for dual learning in the pursuit-evasion differential game
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| contributor author | Al-Talabi, Ahmad A. | |
| contributor author | Schwartz, Howard M. | |
| date accessioned | 2020-03-12T22:27:46Z | |
| date available | 2020-03-12T22:27:46Z | |
| date issued | 2014 | |
| identifier other | 7010641.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1083843?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A two stage learning technique for dual learning in the pursuit-evasion differential game | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8221072 | |
| subject keywords | building management systems | |
| subject keywords | n contamination | |
| subject keywords | n pollution control | |
| subject keywords | n sensors | |
| subject keywords | n cognitive mechanisms | |
| subject keywords | n cognitive monitoring system | |
| subject keywords | n contaminant concentration measurement | |
| subject keywords | n contaminant detection | |
| subject keywords | n contaminant presence | |
| subject keywords | n contaminant source | |
| subject keywords | n intelligent buildings | |
| subject keywords | n real-time point-trigger sensors | |
| subject keywords | n sensing systems | |
| subject keywords | n sensor degradation | |
| subject keywords | n Artificial intelligence | |
| subject keywords | n Buildings | |
| subject keywords | n Degradation | |
| subject keywords | n Monitoring | |
| subject keywords | n Noise | |
| subject keywords | n Pollution measurement | |
| subject keywords | n Sensors | |
| identifier doi | 10.1109/IJCNN.2014.6889452 | |
| journal title | daptive Dynamic Programming and Reinforcement Learning (ADPRL), 2014 IEEE Symposium on | |
| filesize | 337610 | |
| citations | 0 |