The Professional <i>Go</i> Annotation Dataset-Reference-Cited by-同舟云学术

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The Professional Go Annotation Dataset

Published:2023-12 Issue:4 Volume:15 Page:517-526
ISSN:2475-1502
Container-title:IEEE Transactions on Games
language:
Short-container-title:IEEE Trans. Games

Author:

Gao Yifan¹^ORCID,Zhang Danni²,Li Haoyue³

Affiliation:

1. School of Biomedical Engineering, University of Science and Technology of China, Hefei, China

2. School of Economics, Anhui University, Hefei, China

3. College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/7782673/10361571/10123061.pdf?arnumber=10123061

Reference72 articles.

1. PGD: A Large-scale Professional Go Dataset for Data-driven Analytics

2. Mastering the game of Go with deep neural networks and tree search

3. Mastering the game of Go without human knowledge

4. Mastering Atari, Go, chess and shogi by planning with a learned model

Cited by 2 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. Streamlined Deep Learning Models for Move Prediction in Go-Game;Electronics;2024-08-05

2. Factor Analyses on Positive and Negative Evaluations of Games against Go Programs;Communications in Computer and Information Science;2024

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