Potential field hierarchical reinforcement learning approach for target search by multi-AUV in 3-D underwater environments

@inproceedings{Cao2018PotentialFH,
  title={Potential field hierarchical reinforcement learning approach for target search by multi-AUV in 3-D underwater environments},
  author={Xiang Cao and Hongbing Sun and Liqiang Guo},
  year={2018}
}
Multiple autonomous underwater vehicles (multi-AUV) target search is the important element to realise underwater rescue, underwater detection. To improve the efficiency of the multi-AUV target search in three-dimensional underwater environments, a potential field hierarchical reinforcement learning approach is proposed in this paper. Unlike other algorithms that need repeated training in the choice of parameters, the proposed approach obtains all the required parameters automatically through… CONTINUE READING