A deep reinforcement learning method based on attentional memories-Reference-Cited by-同舟云学术

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A deep reinforcement learning method based on attentional memories

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)
language:
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Author:

Sun Libin¹,Biao Gao²,Shi Haobin³

Affiliation:

1. The Twentieth Research Institute,China Electronics Technology Group,Xi'an,Shaanxi Province,China

2. Northwestern Polytechnical University, School of software,Xi'an,Shaanxi Province,China

3. Northwestern Polytechnical University, School of Computer Science,Xi'an,Shaanxi Province,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9853204/9853314/09853403.pdf?arnumber=9853403

Reference22 articles.

1. Neural turing machines;graves;ArXiv Preprint,0

2. Multi-focus attention network for efficient deep reinforcement learning;choi;ArXiv Preprint,0

3. AGIL: Learning Attention from Human for Visuomotor Tasks

4. A visual attention operator for playing Pac-Man

5. Learning to navigate in complex environments;mirowski;ArXiv Preprint,0

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