| Department | 自适应光学技术研究室（八室） |
| Build the Structure of WFSless AO System Through Deep Reinforcement Learning | |
| Hu, K.1,2; Xu, Z.X.1; Yang, W.2; Xu, B.1 | |
| Source Publication | IEEE PHOTONICS TECHNOLOGY LETTERS
 |
| Volume | 30Issue:23Pages:2033-2036 |
| 2018-12-01 | |
| Language | 英语 |
| ISSN | 1041-1135 |
| DOI | 10.1109/LPT.2018.2874998 |
| Indexed By | SCI ; Ei |
| WOS ID | WOS:000451233300010 |
| EI Accession Number | 20184205949711 |
| Subtype | J |
| Abstract | We report on an aberration correction algorithm for a wavefront sensorless adaptive optics (WFSless AO) system based on deep reinforcement learning. First, it is verified that the reinforcement learning theory can be applied in our system. In addition, the deep deterministic policy gradient algorithm is introduced to build the control structure. After that, deep learning is used to deal with the messy raw images of far-field intensity distribution. We emphatically present how to design a feature extraction with the convolutional neural network in the control structure. To demonstrate the performance of this structure, some comparisons are made with the stochastic parallel gradient descent algorithm and the WFSless AO based on general modes algorithm. The results indicate that the correction speed of our method improves about 9 times and 2.5 times, respectively, for the similar correction effect. |
| Keyword | WFSless AO deep reinforcement learning DDPG CNN SPGD AOG |
| WOS Keyword | ABERRATION CORRECTION ; ALGORITHM |
| EI Keywords | Adaptive optics ; Gradient methods ; Neural networks ; Reinforcement learning ; Stochastic systems |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ioe.ac.cn/handle/181551/9286 |
| Collection | 自适应光学技术研究室（八室） |
| Affiliation | 1.Key Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu; 610209, China; 2.University of Chinese Academy of Sciences, Beijing; 100049, China |
| Recommended Citation GB/T 7714 | Hu, K.,Xu, Z.X.,Yang, W.,et al. Build the Structure of WFSless AO System Through Deep Reinforcement Learning[J]. IEEE PHOTONICS TECHNOLOGY LETTERS,2018,30(23):2033-2036. |
| APA | Hu, K.,Xu, Z.X.,Yang, W.,&Xu, B..(2018).Build the Structure of WFSless AO System Through Deep Reinforcement Learning.IEEE PHOTONICS TECHNOLOGY LETTERS,30(23),2033-2036. |
| MLA | Hu, K.,et al."Build the Structure of WFSless AO System Through Deep Reinforcement Learning".IEEE PHOTONICS TECHNOLOGY LETTERS 30.23(2018):2033-2036. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 2018-2053.pdf（1573KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | Application Full Text | |
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