1. MARL-Based Multi-Satellite Intelligent Task Planning Method
- Author
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Guohui Zhang, Xinhong Li, Gangxuan Hu, Yanyan Li, Xun Wang, and Zhibin Zhang
- Subjects
MARL ,multi-satellite intelligent task planning ,Markov game ,MAPPO ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
In this article, we propose a solution to multi-satellite intelligent task planning using the multi-agent reinforcement learning (MARL) method. Fristly, we have developed a multi-satellite task planning model based on the Markov game framework. Furthermore, we have computationally designed a satellite state transition function to address the task planning problem and successfully solved it using the multi-agent proximal policy optimization (MAPPO) algorithm. Our experimental results demonstrate that the MARL method exhibits remarkable convergence speed and performance, delivering significant rewards in multi-scale task planning scenarios. Consequently, it proves to be a highly suitable approach for multi-satellite intelligent task planning.
- Published
- 2023
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