Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction-Reference-Cited by-同舟云学术

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Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction

Published:2023 Issue: Volume: Page:1-12
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Kang Yongxin¹^ORCID,Zhao Enmin¹,Zang Yifan¹,Li Lijuan²,Li Kai²,Tao Pin³,Xing Junliang³

Affiliation:

1. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. Department of Computer Science and Technology, Tsinghua University, Beijing, China

Funder

National Key R&D Program of China

Natural Science Foundation of China

CCF-Tencent Open Fund, and in part by the Strategic Priority Research Program of Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Artificial Intelligence

Link

http://xplorestaging.ieee.org/ielx7/9078688/9184921/10105983.pdf?arnumber=10105983

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. Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations;IEEE Transactions on Artificial Intelligence;2024-09

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