Abstract
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Cybernetics |
| DOIs | |
| Publication status | Online published - 26 Nov 2025 |
Funding
This work was supported in part by the National Natural Science Foundation of China under Grant 62233005, Grant U2441245, and Grant 62503247; in part by the Research Grants Council of Hong Kong Special Administrative Region, China, under Grant CityU 11205724 and Grant CityU 11206825; in part by the National Key Laboratory of Space Intelligent Control under Grant HTKJ2024KL502004; in part by the CNPC Innovation Found under Grant 2024DQ02-0507; in part by the Industry-Academia-Research Collaboration Fund of the Eighth Academy of China Aerospace Science and Technology Corporation under Grant SAST2024-060; in part by the Natural Science Foundation of Jiangsu Province under Grant BK20230605; and in part by Shanghai Institute for Mathematics and Interdisciplinary Sciences (SIMIS) under Grant SIMIS-ID-2025-SP
Research Keywords
- Analytical method
- differential games
- dominant regions
- optimal decisions
- speed ratios
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Wang, J., Ho, D. W. C., Mao, S., Xu, J., & Tang, Y. (2025). Optimal Strategies in Multiplayer Reach-Avoid Games With Different Speed Ratios. IEEE Transactions on Cybernetics. Advance online publication. https://doi.org/10.1109/TCYB.2025.3633274
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'Optimal Strategies in Multiplayer Reach-Avoid Games With Different Speed Ratios'. Together they form a unique fingerprint.Projects
- 2 Active
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GRF: Distributed Multi-Agent Learning/Optimization with Delayed and Compressed Communication
HO, W. C. D. (Principal Investigator / Project Coordinator)
1/01/26 → …
Project: Research
-
GRF: Nash Equilibrium Seeking for Multi-Agent Systems with Information Transmission Constraints
HO, W. C. D. (Principal Investigator / Project Coordinator)
1/01/25 → …
Project: Research
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