SynPER: Synthesized prioritized experience replay for USVs formation control in island-reef waters via multi-agent reinforcement learning

Key Points

• Formation control achieved with synthesized prioritized experience replay in multi-agent systems, enhancing efficiency.
• The approach demonstrates improved policy optimization while navigating complex marine environments with unmanned surface vehicles.
• Utilizing multi-agent reinforcement learning, the study analyzes performance metrics including speed and coordination.
• This method may enable better coordination in aquatic systems, suggesting useful applications in environmental monitoring and research.