Defensive Escort Teams for Navigation in Crowds via Multi-Agent Deep Reinforcement Learning

Author:

Hasan Yazied A.,Garg Arpit,Sugaya SatomiORCID,Tapia LydiaORCID

Funder

National Science Foundation

Air Force Research Laboratory

Army Research Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Cited by 10 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. Multi-agent Deep Reinforcement Learning for Countering Uncrewed Aerial Systems;Springer Proceedings in Advanced Robotics;2024

2. Navigating With a Defensive Agent: Role Switching for Human Automation Collaboration;ACM SIGGRAPH Conference on Motion, Interaction and Games;2023-11-15

3. Learning-based spacecraft reactive anti-hostile-rendezvous maneuver control in complex space environments;Advances in Space Research;2023-11

4. Study on Enhancing Training Efficiency of MARL for Swarm Using Transfer Learning;Journal of the Korea Institute of Military Science and Technology;2023-08-05

5. Differentiable Learning of Scalable Multi-Agent Navigation Policies;IEEE Robotics and Automation Letters;2023-04

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