@inproceedings{4165bc0f29944405a8556af2e034f1f8,
title = "Improve the performance of neural network training with accurate information: Take Connect6 for example",
abstract = "DeepMind introduced a general reinforcement learning algorithm called AlphaZero to learn through self-play without any human knowledge. It got a superhuman success not only in Go but also in Chess and Shogi. Nevertheless, AlphaZero needs huge computational resources to train a high quality neural network. Most institutions have no such huge computational resources or cannot invest an enormous number of resources to support a research project. Therefore, this paper proposes to embed accurate information into the training phase for improving the performance of the neural network under limited resources. In competition with Zeta-180, the win rate of FD-60 far surpasses all other modifications. The results of experiments indicate that embedding accurate information into the training-phase can effectively improve the performance of the neural network under limited resources.",
keywords = "AlphaZero, Connect6, Deep learning, Neural network, Reinforcement learning",
author = "Huang, {Shih Hao} and Chen, {Chih Hung} and Lin, {Shun Shii}",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 2019 International Conference on Advanced Information Science and System, AISS 2019 ; Conference date: 15-11-2019 Through 17-11-2019",
year = "2019",
month = nov,
day = "15",
doi = "10.1145/3373477.3373703",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of the International Conference on Advanced Information Science and System, AISS 2019",
}