A Multi-AUV Maritime Target Search Method for Moving and Invisible Objects Based on Multi-Agent Deep Reinforcement Learning.
Guangcheng WangFenglin WeiYu JiangMinghao ZhaoKai WangHong QiPublished in: Sensors (2022)
Keyphrases
- reinforcement learning
- multi agent
- preprocessing
- clustering method
- similarity measure
- model free
- dynamic programming
- cost function
- neural network
- moving objects
- multiple objects
- pairwise
- search methods
- target object
- high accuracy
- search procedure
- detection method
- significant improvement
- decision support system
- search space
- search algorithm
- cooperative
- objective function
- machine learning