Open Access
| Issue |
ITM Web Conf.
Volume 78, 2025
International Conference on Computer Science and Electronic Information Technology (CSEIT 2025)
|
|
|---|---|---|
| Article Number | 01010 | |
| Number of page(s) | 7 | |
| Section | Deep Learning and Reinforcement Learning – Theories and Applications | |
| DOI | https://doi.org/10.1051/itmconf/20257801010 | |
| Published online | 08 September 2025 | |
- B. Tian, L. Lüyao, C. Li, et al., "Game intelligent guidance algorithm based on deep reinforcement learning," J. Jilin Univ. Sci. Ed., vol. 63, no. 1, pp. 91–98, 2025. DOI: https://doi.org/10.13413/j.cnki.jdxblxb.2023555. [Google Scholar]
- H. Bian, "Research on game lineup character recommendation method based on deep reinforcement learning," M.S. thesis, Qilu University of Technology, 2024. DOI: https://doi.org/10.27278/d.cnki.gsdqc.2024.000083. [Google Scholar]
- F. Luo, Y. Wang, J. Qin, et al., "A reinforcement learning-based multi-agent game method for the Three Kingdoms Kill," Comput. Simulation, vol. 41, no. 7, pp. 484–490, 2024. [Google Scholar]
- Y. Liu, "Research on automatic international checkers playing system based on deep reinforcement learning," M.S. thesis, North University of China, 2024. DOI: https://doi.org/10.27470/d.cnki.ghbgc.2024.001438. [Google Scholar]
- J. Wan, "Research on 3D shooting game control algorithm based on deep reinforcement learning," M.S. thesis, Hubei University, 2024. DOI: https://doi.org/10.27130/d.cnki.ghubu.2024.001789 [Google Scholar]
- L. Dong, S. Xiao, S. Niu, et al., "Cooperative path planning under constraints based on deep reinforcement learning," Control Decision, vol. 1, pp. 1–9, Feb. 22, 2025. DOI: https://doi.org/10.13195/j.kzyjc.2024.1019. [Google Scholar]
- Y. Jin, Z. Chen, and H. Yang, "Path planning for electric vehicles aimed at wireless charging based on deep reinforcement learning," Autom. Appl., vol. 66, no. 2, pp. 72–75, 2025. DOI: https://doi.org/10.19769/j.zdhy.2025.02.019. [Google Scholar]
- Y. Hu, Y. Qu, W. Li, et al., "A Pareto Front searching algorithm based on reinforcement learning for constrained multiobjective optimization," Inf. Sci., vol. 705, p. 121985, 2025. [Google Scholar]
- Y. Zhang and B. Gao, "AUV path planning research based on deep reinforcement learning," J. Northeast Normal Univ. (Nat. Sci. Ed.), vol. 57, no. 1, pp. 53–62, 2025. DOI: https://doi.org/10.16163/j.cnki.dslkxb202312260002. [Google Scholar]
- Q. Pan, Y. Zhao, and Y. Gan, "Robot path planning based on improved Q-learning algorithm," Internet of Things Technol., vol. 15, no. 3, pp. 82–86, 2025. DOI: https://doi.org/10.16667/j.issn.2095-1302.2025.03.021. [Google Scholar]
- Y. Jin, Z. Chen, and H. Yang, "Path planning for electric vehicles aimed at wireless charging based on deep reinforcement learning," Autom. Appl., vol. 66, no. 2, pp. 72–75, 2025. DOI: https://doi.org/10.19769/j.zdhy.2025.02.019. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

