A Multi-agent Reinforcement Learning Method for Swarm Robots in Space Collaborative Exploration-Reference-Cited by-同舟云学术

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A Multi-agent Reinforcement Learning Method for Swarm Robots in Space Collaborative Exploration

Published:2020-04 Issue: Volume: Page:
ISSN:
Container-title:2020 6th International Conference on Control, Automation and Robotics (ICCAR)
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Author:

Huang Yixin,Wu Shufan,Mu Zhongcheng,Long Xiangyu,Chu Sunhao,Zhao Guohong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9102213/9107971/09107997.pdf?arnumber=9107997

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Proprioceptive swarms for celestial body exploration;Acta Astronautica;2024-10

2. Multi-Agent Sparse Interaction Modeling is an Anomaly Detection Problem;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Sensor fusion based multiple robot navigation in an indoor environment;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-04-01

4. Cooperative behavior of a heterogeneous robot team for planetary exploration using deep reinforcement learning;Acta Astronautica;2024-01

5. Generating collective behavior of a robotic swarm using an attention agent with deep neuroevolution;Artificial Life and Robotics;2023-10-05

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