Multi-AUV Cooperative Underwater Multi-Target Tracking Based on Dynamic-Switching-enabled Multi-Agent Reinforcement Learning.
Shengbo WangChuan LinGuangjie HanShengchao ZhuZhixian LiZhenyu WangPublished in: CoRR (2024)
Keyphrases
- multi agent reinforcement learning
- multi target tracking
- cooperative
- autonomous underwater vehicle
- autonomous underwater vehicles
- data association
- multi agent
- multi sensor
- visual tracking
- multi agent systems
- learning agents
- reinforcement learning
- training data
- motion patterns
- multi agent learning
- distributed control
- game theory
- path planning
- dynamic programming
- target tracking
- hidden markov models
- stochastic games
- training set