Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms-Reference-Cited by-同舟云学术

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Multi-Actor-Attention-Critic Reinforcement Learning for Central Place Foraging Swarms

Published:2021-07-18 Issue: Volume: Page:
ISSN:
Container-title:2021 International Joint Conference on Neural Networks (IJCNN)
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Author:

Yang Ning,Lu Qi,Xu Kele,Ding Bo,Gao Zijian

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9533266/9533267/09533693.pdf?arnumber=9533693

Cited by 4 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. Adaptive Multiple Distributed Bidirectional Spiral Path Planning for Foraging Robot Swarms;2023 20th Conference on Robots and Vision (CRV);2023-06

2. Coordinated Voltage Regulation of Microgrid Clusters Based on Deep Reinforcement Learning Approach;2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS);2023-05-12

3. A Novel Variational Autoencoder with Multi-position Latent Self-attention and Actor-Critic for Recommendation;Advanced Data Mining and Applications;2023

4. Attention-Based Communication and Control for Multi-UAV Path Planning;IEEE Wireless Communications Letters;2022-07

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