ME‐MADDPG: An efficient learning‐based motion planning method for multiple agents in complex environments-Reference-Cited by-同舟云学术

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ME‐MADDPG: An efficient learning‐based motion planning method for multiple agents in complex environments

Published:2021-12-09 Issue:3 Volume:37 Page:2393-2427
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Wan Kaifang¹^ORCID,Wu Dingwei¹^ORCID,Li Bo¹^ORCID,Gao Xiaoguang¹^ORCID,Hu Zijian¹^ORCID,Chen Daqing²^ORCID

Affiliation:

1. School of Electronics and Information Northwestern Polytechnical University Xi'an Shaanxi Province China

2. School of Engineering London South Bank University London UK

Funder

Natural Science Foundation of Shaanxi Province

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22778

Reference36 articles.

1. Trajectory Generation for Multiagent Point-To-Point Transitions via Distributed Model Predictive Control

2. A Distributed Feedback Motion Planning Protocol for Multiple Unicycle Agents of Different Classes

3. Multiple Mobile Robot Teams, Path Planning and Motion Coordination in

4. Sampling-based algorithms for optimal motion planning

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