Work

A Hierarchical Multi-Task and Multi-Agent Assignment Approach: Learning DQN Strategy From Execution

Year: 2025

Type: article

Source: IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/tase.2025.3560121

Authors: Yu Wang, Huiping Li, Qingliang Shen

Institution: Northwestern Polytechnical University

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G276229992, G5361805742, G6759686994, G680344404, G7347353647

OpenAlex ID: W4409356274

FWCI: 3.739

Cites: 36

Cited by: 10

Related to: 10