Intelligent parallel training method based on simulation experiments
Intelligent training is the process of using machine learning algorithms to train and optimize neural network agent models. The agent model achieves intelligent improvement through continuous trial and error training. Large scale training data is a necessary condition for intelligent learning traini...
| Main Author: | |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Command Control and Simulation
2024-02-01
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| Series: | Zhihui kongzhi yu fangzhen |
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| Online Access: | https://www.zhkzyfz.cn/fileup/1673-3819/PDF/1708501867442-1157521804.pdf |
| _version_ | 1797301127077691392 |
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| author | MA Chunhua |
| author_facet | MA Chunhua |
| author_sort | MA Chunhua |
| collection | DOAJ |
| description | Intelligent training is the process of using machine learning algorithms to train and optimize neural network agent models. The agent model achieves intelligent improvement through continuous trial and error training. Large scale training data is a necessary condition for intelligent learning training, which is usually difficult to obtain directly from the real world. How to generate a large amount of effective training data through simulation is an important research direction for intelligent agent training. This article proposes an intelligent parallel training method based on simulation experiments. By utilizing simulation experiment management, batch simulation experiment scenarios can be quickly generated, and nodes can be automatically deployed and run. Intelligent parallel training can be achieved through reasonable training architecture design and effective training process design. The simulation experiment management process of intelligent training is demonstrated through practical cases, and combined with training results, it is proven that the method proposed in this article improves the efficiency of intelligent training and the generalization of intelligent agents. |
| first_indexed | 2024-03-07T23:17:54Z |
| format | Article |
| id | doaj.art-6d62787c4f714e57b53b91b526e4b8d0 |
| institution | Directory Open Access Journal |
| issn | 1673-3819 |
| language | zho |
| last_indexed | 2024-03-07T23:17:54Z |
| publishDate | 2024-02-01 |
| publisher | Editorial Office of Command Control and Simulation |
| record_format | Article |
| series | Zhihui kongzhi yu fangzhen |
| spelling | doaj.art-6d62787c4f714e57b53b91b526e4b8d02024-02-21T09:43:17ZzhoEditorial Office of Command Control and SimulationZhihui kongzhi yu fangzhen1673-38192024-02-01461939910.3969/j.issn.1673-3819.2024.01.012Intelligent parallel training method based on simulation experimentsMA Chunhua0National Key Laboratory of Electromagnetic Space Security, Chengdu 610036, ChinaIntelligent training is the process of using machine learning algorithms to train and optimize neural network agent models. The agent model achieves intelligent improvement through continuous trial and error training. Large scale training data is a necessary condition for intelligent learning training, which is usually difficult to obtain directly from the real world. How to generate a large amount of effective training data through simulation is an important research direction for intelligent agent training. This article proposes an intelligent parallel training method based on simulation experiments. By utilizing simulation experiment management, batch simulation experiment scenarios can be quickly generated, and nodes can be automatically deployed and run. Intelligent parallel training can be achieved through reasonable training architecture design and effective training process design. The simulation experiment management process of intelligent training is demonstrated through practical cases, and combined with training results, it is proven that the method proposed in this article improves the efficiency of intelligent training and the generalization of intelligent agents.https://www.zhkzyfz.cn/fileup/1673-3819/PDF/1708501867442-1157521804.pdfreinforcement learning|intelligent training|parallel training|simulation experiments |
| spellingShingle | MA Chunhua Intelligent parallel training method based on simulation experiments Zhihui kongzhi yu fangzhen reinforcement learning|intelligent training|parallel training|simulation experiments |
| title | Intelligent parallel training method based on simulation experiments |
| title_full | Intelligent parallel training method based on simulation experiments |
| title_fullStr | Intelligent parallel training method based on simulation experiments |
| title_full_unstemmed | Intelligent parallel training method based on simulation experiments |
| title_short | Intelligent parallel training method based on simulation experiments |
| title_sort | intelligent parallel training method based on simulation experiments |
| topic | reinforcement learning|intelligent training|parallel training|simulation experiments |
| url | https://www.zhkzyfz.cn/fileup/1673-3819/PDF/1708501867442-1157521804.pdf |
| work_keys_str_mv | AT machunhua intelligentparalleltrainingmethodbasedonsimulationexperiments |