Policy Sharing Using Aggregation Trees for ${Q}$ -Learning in a Continuous State and Action Spaces-Reference-Cited by-同舟云学术

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Policy Sharing Using Aggregation Trees for ${Q}$ -Learning in a Continuous State and Action Spaces

Published:2020-09 Issue:3 Volume:12 Page:474-485
ISSN:2379-8920
Container-title:IEEE Transactions on Cognitive and Developmental Systems
language:
Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

Chen Yu-Jen^ORCID,Jiang Wei-Cheng^ORCID,Ju Ming-Yi^ORCID,Hwang Kao-Shing^ORCID

Funder

Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Link

http://xplorestaging.ieee.org/ielx7/7274989/9188029/08755270.pdf?arnumber=8755270

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. Cloud-edge collaborative high-frequency acquisition data processing for distribution network resilience improvement;Frontiers in Energy Research;2024-08-07

2. Alternated Greedy-Step Deterministic Policy Gradient;IEEE Transactions on Cognitive and Developmental Systems;2023-12

3. State Augmentation via Self-Supervision in Offline Multi-Agent Reinforcement Learning;IEEE Transactions on Cognitive and Developmental Systems;2023

4. Discrete Interactions in Decentralized Multiagent Coordination: A Probabilistic Perspective;IEEE Transactions on Cognitive and Developmental Systems;2021-12

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