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- Title
A Graph-Based PPO Approach in Multi-UAV Navigation for Communication Coverage.
- Authors
Zhiling Jiang; Yining Chen; Ke Wang; Bowei Yang; Guanghua Song
- Abstract
Multi-Agent Reinforcement Learning (MARL) is widely used to solve various problems in real life. In the multi-agent reinforcement learning tasks, there are multiple agents in the environment, the existing Proximal Policy Optimization (PPO) algorithm can be applied to multi-agent reinforcement learning. However, it cannot deal with the communication problem between agents. In order to resolve this issue, we propose a Graph-based PPO algorithm, this approach can solve the communication problem between agents and it can enhance the exploration efficiency of agents in the environment and speed up the learning process. We apply our algorithms to the task of multi-UAV navigation for communication coverage to verify the functionality and performance of our proposed algorithms.
- Subjects
AERONAUTICAL navigation; REINFORCEMENT learning; COMMUNICATION barriers; PROBLEM solving; MARL
- Publication
International Journal of Computers, Communications & Control, 2023, Vol 18, Issue 6, p1
- ISSN
1841-9836
- Publication type
Article
- DOI
10.15837/ijccc.2023.6.5505