Policy gradient approaches for multi-objective sequential decision making: A comparison
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: 2014DOI: 10.1109/IJCNN.2014.6889429
Keyword(s): neural nets,n pattern classification,n AANN,n OCC,n STS-AANN,n auto-associative neural networks,n one-class neural network classifier,n optimal representative model,n selected training samples for associative neural network,n Biological neural networks,n Classification algorithms,n Joints,n Mathematical model,n Noise measurement,n Training,n Auto-Associative Neural Networks,n Noisy data,n One-Class
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Policy gradient approaches for multi-objective sequential decision making: A comparison
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| contributor author | Parisi, Simone | |
| contributor author | Pirotta, Matteo | |
| contributor author | Smacchia, Nicola | |
| contributor author | Bascetta, Luca | |
| contributor author | Restelli, Marcello | |
| date accessioned | 2020-03-12T22:27:44Z | |
| date available | 2020-03-12T22:27:44Z | |
| date issued | 2014 | |
| identifier other | 7010618.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1083823?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Policy gradient approaches for multi-objective sequential decision making: A comparison | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8221050 | |
| subject keywords | neural nets | |
| subject keywords | n pattern classification | |
| subject keywords | n AANN | |
| subject keywords | n OCC | |
| subject keywords | n STS-AANN | |
| subject keywords | n auto-associative neural networks | |
| subject keywords | n one-class neural network classifier | |
| subject keywords | n optimal representative model | |
| subject keywords | n selected training samples for associative neural network | |
| subject keywords | n Biological neural networks | |
| subject keywords | n Classification algorithms | |
| subject keywords | n Joints | |
| subject keywords | n Mathematical model | |
| subject keywords | n Noise measurement | |
| subject keywords | n Training | |
| subject keywords | n Auto-Associative Neural Networks | |
| subject keywords | n Noisy data | |
| subject keywords | n One-Class | |
| identifier doi | 10.1109/IJCNN.2014.6889429 | |
| journal title | daptive Dynamic Programming and Reinforcement Learning (ADPRL), 2014 IEEE Symposium on | |
| filesize | 19022736 | |
| citations | 1 |