Learning to Play Koi-Koi Hanafuda Card Games With Transformers

Author:

Guan Sanghai1ORCID,Wang Jingjing2ORCID,Zhu Ruijie3ORCID,Qian Junhui4ORCID,Wei Zhongxiang5ORCID

Affiliation:

1. iFLYTEK Research, iFLYTEK Co., Ltd., Hefei, China

2. School of Cyber Science and Technology, Beihang University, Beijing, China

3. School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, China

4. School of Microelectronic and Communication Engineering, Chongqing University, Chongqing, China

5. College of Electronic and Information Engineering, Tongji University, Shanghai, China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Chongqing Key Laboratory of Mobile Communication Technology

Shanghai Automotive Industry Science and Technology Development Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Artificial Intelligence

Reference46 articles.

1. BERT: Pre-training of deep bidirectional transformers for language understanding;devlin;Proc Conf North Amer Chap Assoc Comput Linguistics Hum Lang Tech (NAACL-HLT),0

2. Recent advances in convolutional neural networks

3. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,0

4. Automatic Bridge Bidding Using Deep Reinforcement Learning

5. Language models are few-shot learners;brown;Adv Neural Inf Process Syst,2020

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