Bootstrapping Human-Autonomy Collaborations by using Brain-Computer Interface of SSVEP for Multi-Agent Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Bootstrapping Human-Autonomy Collaborations by using Brain-Computer Interface of SSVEP for Multi-Agent Deep Reinforcement Learning

Published:2022-11-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 3rd International Conference on Human-Machine Systems (ICHMS)
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Author:

Ho Joshua¹,Wang Chien-Min²,Chuang Chun-Hsiang³,King Chung-Ta³,Feng Chi-Wei⁴,Chou Tun-Hsiang⁵,Chen Yen-Min⁵,Yang Yu-Hsin⁵,Hsiao Yi-Cheng⁴

Affiliation:

1. Social Networks and Human-Centered Computing Program, Taiwan International Graduate Program

2. Institute of Information Science, Academia Sinica,Taipei,Taiwan,115

3. Institute of Information Systems and Applications, National Tsing Hua University,Hsinchu,Taiwan,30013

4. National Tsing Hua University,Department of Computer Science,Hsinchu,Taiwan,30013

5. National Taiwan University,College of EECS,Taipei,Taiwan,106

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9980475/9980540/09980765.pdf?arnumber=9980765

Reference27 articles.

1. SSVEP-assisted RSVP brain–computer interface paradigm for multi-target classification

2. Brain-computer interface technology: a review of the first international meeting

3. Use of Force Feedback Device in a Hybrid Brain-Computer Interface Based on SSVEP, EOG and Eye Tracking for Sorting Items

4. Explainable and Adaptable Augmentation in Knowledge Attention Network for Multi-Agent Deep Reinforcement Learning Systems

Cited by 1 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. Learning Adaptation and Generalization from Human-Inspired Meta-Reinforcement Learning Using Bayesian Knowledge and Analysis;2023 IEEE Sixth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE);2023-09-25

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