Deep Learning Methods for Mean Field Control Problems With Delay
We consider a general class of mean field control problems described by stochastic delayed differential equations of McKean–Vlasov type. Two numerical algorithms are provided based on deep learning techniques, one is to directly parameterize the optimal control using neural networks, the other is ba...
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| Published in: | Frontiers in applied mathematics and statistics Vol. 6 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Frontiers Media S.A
12.05.2020
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| Subjects: | |
| ISSN: | 2297-4687, 2297-4687 |
| Online Access: | Get full text |
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