Cooperative multi-agent target searching: a deep reinforcement learning approach based on parallel hindsight experience replay

Cooperative multi-agent target searching: a deep reinforcement learning approach based on parallel hindsight experience replay

Abstract Multi-agent multi-target search strategies can be utilized in complex scenarios such as post-disaster search and rescue by unmanned aerial vehicles. To solve the problem of fixed target and trajectory, the current multi-agent multi-target search strategies are mainly based on deep reinforce...

Full description

Bibliographic Details
Main Authors: Yi Zhou, Zhixiang Liu, Huaguang Shi, Si Li, Nianwen Ning, Fuqiang Liu, Xiaozhi Gao
Format: Article
Language:English
Published: Springer 2023-02-01
Series:Complex & Intelligent Systems
Subjects:
Deep reinforcement learning (DRL)
Multi-agent multi-target search
Sparse rewards
Minimax optimization
Parallel hindsight experience replay
Online Access:https://doi.org/10.1007/s40747-023-00985-w

Internet

https://doi.org/10.1007/s40747-023-00985-w

Similar Items